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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. 5-RES-JB
    6. 7076
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    INDEX
    Explanations

    mentions of chemical weapons-related terms and events

    oai_token-act-pair · gpt-3.5-turbo

    references to chemical weapons and their usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alg
    -0.88
    unct
    -0.86
    ATA
    -0.81
     Huck
    -0.73
    erenn
    -0.73
    uckland
    -0.72
    Stud
    -0.72
    aird
    -0.72
    YC
    -0.71
    osit
    -0.71
    POSITIVE LOGITS
     bombing
    1.20
     bombings
    1.11
     munitions
    1.09
     disarm
    1.03
     bombs
    1.03
     weapons
    1.00
     grenades
    0.99
     airstrikes
    0.98
    apons
    0.95
     attacks
    0.94
    Activations Density 0.060%

    No Known Activations