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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. 3-RES-JB
    11. 17233
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    Explanations

    references to the University of Southern California (USC)

    oai_token-act-pair · gpt-3.5-turbo

    references to the University of Southern California (USC)

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĥł
    -0.74
    chest
    -0.74
    addons
    -0.70
    maker
    -0.69
    âĶĢâĶĢ
    -0.68
    stroke
    -0.68
    making
    -0.67
    Ò
    -0.65
    ãĥĩãĤ£
    -0.63
    ãĥĥãĥĪ
    -0.63
    POSITIVE LOGITS
    onduct
    0.92
     USC
    0.88
    ITY
    0.88
    bilt
    0.88
    irtual
    0.85
    UC
    0.85
     ILCS
    0.84
    ategory
    0.82
    ADA
    0.80
    laus
    0.79
    Activations Density 0.003%

    No Known Activations