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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. 7-RES-JB
    11. 9386
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    Explanations

    words related to nuclear power, weapons, and associated concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to nuclear-related terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olkien
    -0.80
    Row
    -0.76
    Preview
    -0.76
    raised
    -0.75
    00200000
    -0.74
    BACK
    -0.72
    AGES
    -0.71
    lay
    -0.70
    lies
    -0.70
    tyard
    -0.69
    POSITIVE LOGITS
     deterrent
    1.03
     submarines
    0.99
     reactors
    0.98
     deterrence
    0.98
     reactor
    0.95
     submarine
    0.93
     warheads
    0.90
     waste
    0.89
     annihilation
    0.87
     missile
    0.86
    Activations Density 0.039%

    No Known Activations