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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. 4-RES-JB
    11. 22181
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    Explanations

    words related to penalties or punishment in a sporting context

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yll
    -0.81
    rina
    -0.80
    atters
    -0.78
    bian
    -0.76
    itect
    -0.74
    rust
    -0.73
    agog
    -0.72
     Remastered
    -0.71
    ullivan
    -0.70
    vironment
    -0.69
    POSITIVE LOGITS
     penalty
    1.15
     penalties
    1.09
     levied
    0.98
     imposed
    0.90
     sanction
    0.85
     punishment
    0.84
     Penalty
    0.84
     incurred
    0.83
     inflicted
    0.81
     leveled
    0.79
    Activations Density 0.009%

    No Known Activations