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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
    11. 2806
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    Explanations

    keywords related to tobacco, including specific mentions of tobacco-related issues and products

    oai_token-act-pair · gpt-3.5-turbo

    references to tobacco and related health implications

    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
     Gamergate
    -0.72
     Defenders
    -0.70
     Ake
    -0.68
     Rober
    -0.68
     Wynne
    -0.68
     Lazarus
    -0.67
     Kardash
    -0.65
    imov
    -0.64
    infeld
    -0.64
    variable
    -0.63
    POSITIVE LOGITS
     cigarettes
    1.06
     tobacco
    0.97
     smoking
    0.97
     smoke
    0.89
    acco
    0.88
     cessation
    0.88
     cigarette
    0.88
    arette
    0.84
     smoked
    0.83
    oshenko
    0.82
    Activations Density 0.010%

    No Known Activations