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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. 13035
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    Explanations

    phrases related to lists or categorizations

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities, entities, or structured elements in discussions

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

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    Negative Logits
     Normandy
    -0.58
     Qatar
    -0.58
     Supply
    -0.57
     Telegraph
    -0.56
     Meridian
    -0.56
     Corrections
    -0.54
     Competitive
    -0.53
     Maintenance
    -0.53
     Shack
    -0.53
     Relief
    -0.53
    POSITIVE LOGITS
    paces
    1.22
    mith
    1.07
    pace
    0.99
    hops
    0.97
    poons
    0.95
    hips
    0.95
    ibling
    0.94
    pring
    0.91
    ettings
    0.91
    hip
    0.90
    Activations Density 0.916%

    No Known Activations