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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. 8-RES-JB
    11. 9491
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    INDEX
    Explanations

    technical sequences with specific characters between them, potentially indicating code or settings adjustments

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or requests

    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
    hement
    -1.06
    aday
    -0.65
    paces
    -0.62
     experien
    -0.58
     panels
    -0.57
    ction
    -0.56
    ighth
    -0.55
    abwe
    -0.54
     tremend
    -0.53
     retiring
    -0.53
    POSITIVE LOGITS
    \":
    0.79
    eport
    0.73
    ë
    0.72
    arta
    0.71
    ritz
    0.69
    api
    0.68
     ante
    0.65
    gex
    0.65
    fee
    0.65
    ammy
    0.63
    Activations Density 0.233%

    No Known Activations