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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. 8-RES-JB
    6. 1412
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    Explanations

    words related to traps or mechanisms designed to capture or deceive something

    oai_token-act-pair · gpt-3.5-turbo

    references to traps, both literal and metaphorical

    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
    edly
    -0.87
    issance
    -0.84
    sis
    -0.82
    verty
    -0.70
    played
    -0.69
    care
    -0.69
    sburg
    -0.69
    eda
    -0.65
    doms
    -0.64
    shire
    -0.63
    POSITIVE LOGITS
    door
    1.36
    doors
    1.22
    idon
    0.85
    finding
    0.81
     Hole
    0.76
     traps
    0.72
    trap
    0.69
     trap
    0.67
    hered
    0.67
    resses
    0.67
    Activations Density 0.037%

    No Known Activations