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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. 9-RES-JB
    11. 11447
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    Explanations

    information related to statistics in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    enegger
    -0.87
    gur
    -0.69
    hod
    -0.69
    hoe
    -0.69
     Halls
    -0.66
    naires
    -0.65
    details
    -0.64
    masters
    -0.63
    Sov
    -0.63
    forums
    -0.63
    POSITIVE LOGITS
     capita
    0.96
     outing
    0.88
     stride
    0.84
    tains
    0.82
     scorer
    0.76
     rusher
    0.76
     converting
    0.74
     preseason
    0.72
     opener
    0.71
     league
    0.70
    Activations Density 0.038%

    No Known Activations