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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. 20686
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    Explanations

    mentions of the term "biological," particularly in the context of describing traits, characteristics, or research related to it

    oai_token-act-pair · gpt-3.5-turbo

    references to biological concepts and terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.81
    esty
    -0.80
    naire
    -0.73
    adra
    -0.71
    eca
    -0.70
    ebook
    -0.68
    eeper
    -0.68
    rising
    -0.68
    essee
    -0.67
    urat
    -0.66
    POSITIVE LOGITS
     plaus
    0.97
     sciences
    0.92
     organisms
    0.85
     organism
    0.80
     Sciences
    0.79
    hazard
    0.77
     biologists
    0.76
     warfare
    0.75
     biologist
    0.75
     anthropology
    0.74
    Activations Density 0.034%

    No Known Activations