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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. 9-RES-JB
    11. 17630
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    Explanations

    technology-related terms and company names

    oai_token-act-pair · gpt-3.5-turbo

    references to media outlets and platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hower
    -0.84
    ĸļ
    -0.75
    unal
    -0.61
    information
    -0.59
    :[
    -0.58
    bush
    -0.58
     MacDonald
    -0.57
    usercontent
    -0.56
     epist
    -0.55
    poll
    -0.55
    POSITIVE LOGITS
    idon
    0.86
    ioxide
    0.85
    itives
    0.70
     Circus
    0.68
    racuse
    0.68
     Cabrera
    0.67
    enhagen
    0.66
    riors
    0.66
    ternity
    0.66
    stals
    0.65
    Activations Density 0.382%

    No Known Activations