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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. 0-RES-JB
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    Explanations

    mentions of nuclear weapons

    oai_token-act-pair · gpt-3.5-turbo

    words related to nuclear weapons and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scanner
    -0.68
     Trave
    -0.67
     lodging
    -0.67
     hike
    -0.67
     supper
    -0.67
     adapter
    -0.65
     ][
    -0.63
     Hiro
    -0.62
     diver
    -0.62
     destination
    -0.62
    POSITIVE LOGITS
    ukes
    3.68
    lees
    1.56
    uked
    1.45
    uggets
    1.20
    argon
    1.10
    doms
    1.09
    andals
    1.08
    aughters
    1.04
    assic
    0.97
    enburg
    0.97
    Activations Density 0.033%

    No Known Activations