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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. 4-RES-JB
    11. 4119
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    Explanations

    names or terms related to scoring in sports or competitions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with scoring and competitive metrics

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

    No Comments

    Negative Logits
    yles
    -0.82
    lique
    -0.75
     coli
    -0.74
    phi
    -0.70
    lio
    -0.67
    lar
    -0.67
    ensis
    -0.66
    stra
    -0.66
    rir
    -0.63
    essa
    -0.63
    POSITIVE LOGITS
     Ratings
    0.88
     Against
    0.86
     Instr
    0.86
    nces
    0.82
     Played
    0.81
     Winning
    0.80
     Corruption
    0.78
     Ranking
    0.78
     Drawn
    0.74
    andise
    0.74
    Activations Density 0.035%

    No Known Activations