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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. 7-RES-JB
    11. 13414
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    INDEX
    Explanations

    mentions of winning or success in sports or competitions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to success or winning in a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opian
    -0.72
    heter
    -0.68
    haar
    -0.67
    del
    -0.67
    ensor
    -0.67
    âĶģ
    -0.66
    repre
    -0.66
    reve
    -0.65
    geist
    -0.65
    agen
    -0.64
    POSITIVE LOGITS
     streak
    1.11
     bidder
    1.03
     streaks
    0.94
     Eleven
    0.78
     percentages
    0.76
    est
    0.74
     percentage
    0.72
     Stre
    0.70
     candidate
    0.70
     strategies
    0.67
    Activations Density 0.035%

    No Known Activations