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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. 5973
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    INDEX
    Explanations

    mentions or references to the word "nuclear"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of nuclear-related topics or events

    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
    ean
    -0.81
    raised
    -0.78
    olkien
    -0.72
    Created
    -0.72
    00200000
    -0.72
    olulu
    -0.72
    Preview
    -0.72
    ̶
    -0.72
    anza
    -0.71
    ++++++++++++++++
    -0.70
    POSITIVE LOGITS
     reactors
    1.03
     reactor
    0.98
     deterrent
    0.96
     nuclear
    0.95
     submarine
    0.92
     warheads
    0.92
     deterrence
    0.91
     submarines
    0.91
     missile
    0.87
     disarm
    0.86
    Activations Density 0.020%

    No Known Activations