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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. 20182
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    Explanations

    actions related to penalties or disciplinary actions in sports

    oai_token-act-pair · gpt-3.5-turbo

    instances of fouls and disciplinary actions 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
    Not in Any Lists

    No Comments

    Negative Logits
    ocaly
    -0.79
    natureconservancy
    -0.79
     liv
    -0.77
    rowth
    -0.77
     Surviv
    -0.76
    izons
    -0.74
    opian
    -0.74
    artisan
    -0.74
    kefeller
    -0.74
    ospel
    -0.73
    POSITIVE LOGITS
     referee
    1.58
     referees
    1.54
     Penalty
    1.37
     penalty
    1.27
     offence
    1.19
     foul
    1.18
     scorer
    1.17
     UEFA
    1.16
     teammate
    1.15
     penalties
    1.14
    Activations Density 1.021%

    No Known Activations