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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. 3-RES-JB
    11. 15978
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    Explanations

    information related to nuclear weapons

    oai_token-act-pair · gpt-3.5-turbo

    references to nuclear weapons and related programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Local
    -0.79
    onym
    -0.76
    sbm
    -0.74
    idav
    -0.71
    ItemImage
    -0.70
    Men
    -0.69
    Jackson
    -0.68
    Sample
    -0.67
    POL
    -0.66
     Feel
    -0.66
    POSITIVE LOGITS
     submarines
    1.15
     submarine
    1.05
     warheads
    1.02
     dismant
    0.95
     deton
    0.91
     plutonium
    0.90
    utonium
    0.88
     superpower
    0.87
     reactors
    0.86
     reactor
    0.85
    Activations Density 0.090%

    No Known Activations