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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. 4-RES-JB
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    Explanations

    mentions of skeletons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to skeletons and skeletal structures

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

    No Comments

    Negative Logits
    words
    -0.91
    fw
    -0.81
     Synd
    -0.73
    gard
    -0.71
    ubb
    -0.71
    adena
    -0.71
     Schr
    -0.70
    wick
    -0.69
     Monthly
    -0.69
    spr
    -0.69
    POSITIVE LOGITS
     skeletons
    0.97
     skeleton
    0.94
     skeletal
    0.78
    rats
    0.76
    ovember
    0.74
    letal
    0.73
    keleton
    0.72
    arily
    0.71
    uania
    0.70
     upkeep
    0.66
    Activations Density 0.016%

    No Known Activations