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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. 6478
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    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    rix
    -0.63
    Ĵ
    -0.62
    ĺħ
    -0.62
    §
    -0.61
    orthy
    -0.60
    owered
    -0.60
    oother
    -0.60
    recated
    -0.60
    essee
    -0.60
    ouch
    -0.60
    POSITIVE LOGITS
     bets
    0.92
     entries
    0.88
     scenarios
    0.87
     responses
    0.87
     impressions
    0.86
     predictions
    0.86
     judgments
    0.86
     guesses
    0.85
     proportions
    0.84
     expectations
    0.84
    Activations Density 0.758%

    No Known Activations