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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14596
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    INDEX
    Explanations

    potential motives and triggers for violent or controversial actions

    oai_token-act-pair · gpt-3.5-turbo

    themes related to violence and its underlying motives

    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
    anwhile
    -0.56
    ajor
    -0.53
    "!
    -0.53
    Marg
    -0.52
    lishes
    -0.52
    .}
    -0.49
    aut
    -0.49
    ngth
    -0.48
    oya
    -0.48
    Morning
    -0.48
    POSITIVE LOGITS
    ?,
    1.14
    ,[
    1.01
    *,
    1.00
     (),
    0.95
    /,
    0.86
    !,
    0.82
     ,
    0.82
    $,
    0.81
    ,...
    0.79
    +,
    0.79
    Activations Density 1.228%

    No Known Activations