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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. 8-RES-JB
    11. 19413
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    Explanations

    phrases related to penalties in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to penalties in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yll
    -0.95
    pocket
    -0.85
    atters
    -0.80
     Remastered
    -0.80
    itect
    -0.80
    rina
    -0.76
    enger
    -0.75
    mberg
    -0.75
    apest
    -0.74
    âĸĪâĸĪâĸĪâĸĪ
    -0.74
    POSITIVE LOGITS
     levied
    0.95
     penalties
    0.94
     imposed
    0.93
     penalty
    0.92
     sanction
    0.81
     leveled
    0.80
     incurred
    0.79
     regimes
    0.79
     inflicted
    0.77
     regime
    0.75
    Activations Density 0.037%

    No Known Activations