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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. 1-RES-JB
    11. 11333
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    Explanations

    keywords related to history or historical events, including terms like "historian," "history," and specific historical figures

    oai_token-act-pair · gpt-3.5-turbo

    references to historical topics or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ateral
    -0.73
    peak
    -0.71
    PLIED
    -0.71
    zzle
    -0.71
    gur
    -0.68
     [];
    -0.67
    loo
    -0.66
    backer
    -0.66
    abba
    -0.65
     Meadows
    -0.65
    POSITIVE LOGITS
    orically
    1.25
    orical
    1.20
    alog
    1.10
    Hist
    1.07
    ogram
    1.06
    amine
    1.03
    idine
    1.03
    hist
    1.02
    oric
    0.97
    ochemical
    0.89
    Activations Density 0.009%

    No Known Activations