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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. 8880
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    Explanations

    specific football statistics related to passing or rushing yards

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to sports performance metrics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bral
    -0.73
    sonian
    -0.72
    phalt
    -0.71
     Originally
    -0.66
    soType
    -0.62
    idav
    -0.61
    Econom
    -0.61
    iltr
    -0.61
    VPN
    -0.60
    xual
    -0.60
    POSITIVE LOGITS
     touchdowns
    1.03
     touchdown
    0.86
     yards
    0.75
    amina
    0.74
    ailable
    0.74
    offensive
    0.72
     totals
    0.71
    fficiency
    0.71
    umbles
    0.69
     supremacy
    0.66
    Activations Density 0.036%

    No Known Activations