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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. 18772
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    Explanations

    mentions of judges in a legal context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of judges within the text

    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
     Rivals
    -0.78
    haar
    -0.78
    ohyd
    -0.70
    orne
    -0.70
     Roads
    -0.69
    rolet
    -0.69
    ulus
    -0.69
    otin
    -0.66
    kefeller
    -0.66
    vised
    -0.66
    POSITIVE LOGITS
    rooms
    0.96
     presiding
    0.95
     overseeing
    0.92
     Advocate
    0.83
    room
    0.78
     ruled
    0.77
     rulings
    0.76
     examiner
    0.74
    yers
    0.73
     unfocusedRange
    0.72
    Activations Density 0.027%

    No Known Activations