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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. 6-RES-JB
    11. 10885
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    Explanations

    phrases related to nuclear weapons

    oai_token-act-pair · gpt-3.5-turbo

    references to nuclear weapons and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idas
    -0.85
    idav
    -0.80
    knit
    -0.79
     Barber
    -0.76
    é¾įåĸļ士
    -0.73
    Honest
    -0.72
    felt
    -0.71
    MpServer
    -0.70
    details
    -0.70
    soType
    -0.70
    POSITIVE LOGITS
     plutonium
    1.07
     warheads
    1.05
     submarines
    1.00
    iferation
    0.99
    utonium
    0.97
     dismant
    0.95
     deton
    0.95
     arsen
    0.94
     buildup
    0.94
     stockpile
    0.93
    Activations Density 0.062%

    No Known Activations