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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. 0-RES-JB
    11. 6876
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    Explanations

    terms related to scoring in competitive events

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring events in sports contests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fork
    -0.69
    compan
    -0.68
    ubes
    -0.67
     Prohibition
    -0.66
    dep
    -0.65
    immer
    -0.63
    vol
    -0.62
    atom
    -0.62
     Extend
    -0.61
    nee
    -0.61
    POSITIVE LOGITS
     scoring
    3.73
    scoring
    2.61
     score
    2.13
     scored
    1.95
     scorer
    1.94
     scores
    1.87
    score
    1.71
     Score
    1.67
    Score
    1.65
     Scores
    1.51
    Activations Density 0.007%

    No Known Activations