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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16570
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    Explanations

    pieces of computer code or technical information

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and identifiers related to software and configurations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    drm
    -0.55
     ..........
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    osate
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     amphib
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    azo
    -0.52
     coma
    -0.51
    otom
    -0.50
    anan
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     commercially
    -0.50
    POSITIVE LOGITS
    heit
    0.71
    ngth
    0.64
    ername
    0.58
     Fn
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    wagon
    0.57
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    0.55
     Kinder
    0.55
     pse
    0.54
    worthiness
    0.53
     downgrade
    0.53
    Activations Density 0.918%

    No Known Activations