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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. 6-RES-JB
    11. 10671
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    Explanations

    statistics related to sporting events

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of scores or outcomes in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    objects
    -0.80
    agna
    -0.79
    ilial
    -0.78
    rete
    -0.74
    conserv
    -0.73
    ographies
    -0.73
    Values
    -0.72
    videos
    -0.71
    research
    -0.69
    washing
    -0.69
    POSITIVE LOGITS
     underdog
    0.85
     halftime
    0.84
     overtime
    0.82
     shootout
    0.80
     undefeated
    0.73
     opponent
    0.72
     defeats
    0.72
     lead
    0.71
    ½
    0.71
     defeat
    0.69
    Activations Density 0.039%

    No Known Activations