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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. 8-RES-JB
    6. 354
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    Explanations

    mentions of being shot or shot dead

    oai_token-act-pair · gpt-3.5-turbo

    references to shooting incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Econom
    -0.76
    é¾įå¥ij士
    -0.75
    DragonMagazine
    -0.73
    Else
    -0.73
    Space
    -0.71
    Supported
    -0.70
     facult
    -0.69
    åİ
    -0.69
    Climate
    -0.69
    wcsstore
    -0.68
    POSITIVE LOGITS
    powder
    1.07
    nikov
    0.97
     dead
    0.92
    guns
    0.88
    lessly
    0.85
    proof
    0.85
    gun
    0.83
     rampage
    0.83
     wounds
    0.82
     bullets
    0.80
    Activations Density 0.044%

    No Known Activations