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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. 18572
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    INDEX
    Explanations

    mentions or references to specific titles, names, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific letters and their patterns in the text

    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
    baugh
    -0.75
     toget
    -0.75
    Redditor
    -0.70
     Berks
    -0.68
    strap
    -0.68
    Downloadha
    -0.67
    staking
    -0.67
     mosqu
    -0.65
     ali
    -0.65
     Metatron
    -0.63
    POSITIVE LOGITS
    ulhu
    0.93
    emonic
    0.92
    wm
    0.76
    CN
    0.73
    ommod
    0.73
    RNA
    0.73
    mt
    0.72
    RN
    0.72
    Lt
    0.71
    DNA
    0.71
    Activations Density 0.070%

    No Known Activations