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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
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    Explanations

    words related to legal actions, especially charges and accusations involving negligence or manslaughter

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with legal charges and liability, specifically relating to manslaughter and negligence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rose
    -0.78
    PT
    -0.75
    markets
    -0.72
    quart
    -0.71
    arov
    -0.71
    hedral
    -0.71
    imen
    -0.71
    orph
    -0.70
    paren
    -0.68
    chrome
    -0.67
    POSITIVE LOGITS
     manslaughter
    1.19
     negligent
    1.06
     negligence
    1.03
    theless
    0.82
     wrongdoing
    0.78
     malice
    0.77
     neglig
    0.76
     culp
    0.76
     unfocusedRange
    0.75
    renheit
    0.75
    Activations Density 0.013%

    No Known Activations