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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. 23749
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    INDEX
    Explanations

    athletic achievements and performance evaluations

    oai_token-act-pair · gpt-3.5-turbo

    performance-related metrics or achievements

    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

    No Comments

    Negative Logits
     ®
    -0.89
    Kids
    -0.72
     Funding
    -0.70
    src
    -0.69
     Kids
    -0.69
    Ey
    -0.69
     Ey
    -0.68
     Doors
    -0.67
     Parents
    -0.66
     Mothers
    -0.66
    POSITIVE LOGITS
     clutch
    1.04
     hitters
    0.97
     athleticism
    0.93
     teammate
    0.92
     offensively
    0.91
     impressive
    0.89
     hitter
    0.88
     turnovers
    0.87
     teammates
    0.86
     positional
    0.85
    Activations Density 0.460%

    No Known Activations