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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. 14119
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    Explanations

    references to sports events and games

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sporting events or games

    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
    aft
    -0.82
     manif
    -0.73
    xon
    -0.71
    metic
    -0.67
    ogle
    -0.66
    asma
    -0.66
    achev
    -0.65
     plur
    -0.62
    ogyn
    -0.62
    cul
    -0.61
    POSITIVE LOGITS
    keepers
    0.79
    ghazi
    0.78
    keeper
    0.77
    ONSORED
    0.75
    Day
    0.74
     Ney
    0.73
     opener
    0.73
     Stadium
    0.73
     against
    0.72
     Recap
    0.71
    Activations Density 0.062%

    No Known Activations