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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. 10-RES-JB
    11. 7955
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    INDEX
    Explanations

    proper nouns and specific names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific regions or locales, particularly in city-related contexts

    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
    uthor
    -0.77
    yip
    -0.68
     tremend
    -0.67
    kaya
    -0.64
    drm
    -0.59
    oshi
    -0.58
    oppable
    -0.57
    ratulations
    -0.57
    ovych
    -0.55
    manship
    -0.55
    POSITIVE LOGITS
    igham
    0.80
    uve
    0.76
    opolis
    0.76
    aign
    0.74
    bral
    0.71
     Sole
    0.67
    grain
    0.66
     Blanc
    0.66
    xus
    0.66
    odon
    0.65
    Activations Density 0.191%

    No Known Activations