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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. 10-RES-JB
    6. 18201
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    INDEX
    Explanations

    words related to war, conflict, and devastation

    oai_token-act-pair · gpt-3.5-turbo

    references to conflict and war-related situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ATP
    -0.67
     Lunch
    -0.66
    ITY
    -0.64
     Nickel
    -0.63
     Unicode
    -0.63
     Ital
    -0.63
     Parenthood
    -0.63
     UD
    -0.62
     Dinner
    -0.62
     basis
    -0.62
    POSITIVE LOGITS
    ridden
    1.73
    prone
    1.62
    induced
    1.51
    torn
    1.47
    resistant
    1.47
    related
    1.43
    laden
    1.42
    inducing
    1.42
    filled
    1.35
    linked
    1.33
    Activations Density 0.067%

    No Known Activations