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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. 10-RES-JB
    6. 20102
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    INDEX
    Explanations

    phrases indicating desire or permission to act freely without restriction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or willingness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    livious
    -0.76
     enthusi
    -0.71
    cling
    -0.67
    ynski
    -0.64
    onut
    -0.61
    BuyableInstoreAndOnline
    -0.59
     Echoes
    -0.58
    pher
    -0.57
    gre
    -0.57
     faint
    -0.56
    POSITIVE LOGITS
    PLA
    0.74
     without
    0.74
    mares
    0.72
     WITHOUT
    0.69
     to
    0.69
     regardless
    0.69
    ably
    0.67
     them
    0.66
    .
    0.65
    *.
    0.65
    Activations Density 0.052%

    No Known Activations