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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 7135
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    Explanations

    references to specific locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to institutions, relationships, and spatial or academic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     NBN
    -0.53
    enium
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     Airbus
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     partName
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    aminer
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    GE
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    [/
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     ®
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     +++
    -0.41
     debian
    -0.41
    POSITIVE LOGITS
    edo
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    quartered
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    ient
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    eday
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    ãĥĩãĤ£
    0.48
    incinn
    0.48
    ravis
    0.47
    akes
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    thumbnails
    0.47
    ako
    0.47
    Activations Density 0.469%

    No Known Activations