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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. 8-RES-JB
    11. 381
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    INDEX
    Explanations

    mentions of specific names or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and characters in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ADRA
    -0.67
     Normandy
    -0.65
    HI
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    leon
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     Wonderland
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    Ü
    -0.63
    Race
    -0.59
    ItemThumbnailImage
    -0.59
    Shell
    -0.58
    CRIP
    -0.57
    POSITIVE LOGITS
    etus
    0.74
    ilver
    0.73
    ewski
    0.69
    spir
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    lication
    0.67
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    boa
    0.65
    irin
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    ipal
    0.64
    imgur
    0.64
    Activations Density 0.299%

    No Known Activations