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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. 1-RES-JB
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    Explanations

    mentions of cigarettes

    oai_token-act-pair · gpt-3.5-turbo

    references to cigarettes and their various contexts

    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
    hip
    -1.13
    hips
    -1.13
    paces
    -1.03
    ourcing
    -1.00
    ourced
    -0.92
    ettings
    -0.88
    cale
    -0.83
    olving
    -0.80
    peak
    -0.80
    terday
    -0.79
    POSITIVE LOGITS
    holder
    0.95
    holders
    0.88
    brush
    0.83
     Worker
    0.74
     holder
    0.73
     bott
    0.73
    pole
    0.69
     coaster
    0.69
     belt
    0.69
     peel
    0.65
    Activations Density 0.023%

    No Known Activations