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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. 3-RES-JB
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    Explanations

    information related to legal cases or investigations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific legal cases or criminal incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orks
    -0.91
    icket
    -0.80
    semb
    -0.78
    undai
    -0.78
    lav
    -0.74
    assadors
    -0.74
    requisite
    -0.73
     govern
    -0.73
    ede
    -0.72
    atomic
    -0.71
    POSITIVE LOGITS
    cases
    1.04
     Case
    0.78
    case
    0.77
     Stam
    0.75
     cases
    0.73
     Grimoire
    0.72
     Lancet
    0.70
     histories
    0.69
     case
    0.68
     Investigators
    0.68
    Activations Density 0.034%

    No Known Activations