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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. 4-RES-JB
    11. 970
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    Explanations

    phrases related to nuclear programs or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to nuclear programs and tests

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

    No Comments

    Negative Logits
    cil
    -0.90
    neau
    -0.89
    soType
    -0.80
     Duffy
    -0.79
     Garr
    -0.77
    ItemImage
    -0.73
    onym
    -0.73
    Ward
    -0.70
    haw
    -0.70
     Ward
    -0.68
    POSITIVE LOGITS
     submarines
    1.11
    utonium
    1.05
     plutonium
    1.03
     submarine
    0.99
     warheads
    0.96
     dismant
    0.95
     uranium
    0.94
    iferation
    0.93
     reactor
    0.88
     nuclear
    0.86
    Activations Density 0.104%

    No Known Activations