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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. 5-RES-JB
    6. 1300
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    Explanations

    phrases indicating unnecessary information or obvious statements

    oai_token-act-pair · gpt-3.5-turbo

    spoken expressions or phrases suggesting a need for clarification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anmar
    -0.76
    ahime
    -0.71
     Flavoring
    -0.69
    iology
    -0.66
    assadors
    -0.63
    luaj
    -0.60
     mediated
    -0.59
    ipolar
    -0.59
    chwitz
    -0.59
     coordination
    -0.57
    POSITIVE LOGITS
     conclud
    0.74
    WER
    0.68
    CTV
    0.67
     caveats
    0.65
     Hers
    0.65
     Investigator
    0.63
     disclaim
    0.62
    lege
    0.62
     fert
    0.61
     Patriot
    0.61
    Activations Density 0.141%

    No Known Activations