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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. 4-RES-JB
    11. 16599
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    Explanations

    information related to published studies and journals

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resa
    -0.81
    zik
    -0.78
    gage
    -0.76
    lycer
    -0.75
    rendered
    -0.73
    ctr
    -0.72
    rette
    -0.68
    atics
    -0.67
    osa
    -0.66
    rious
    -0.66
    POSITIVE LOGITS
     Paste
    0.91
    DragonMagazine
    0.89
     Gazette
    0.75
    LEASE
    0.72
     newspapers
    0.72
     Proceedings
    0.71
     POLITICO
    0.70
     FORM
    0.70
     Univ
    0.69
     Tribune
    0.69
    Activations Density 0.133%

    No Known Activations