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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12454
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    Explanations

    terms related to military conflicts and nuclear deterrence

    oai_token-act-pair · gpt-3.5-turbo

    references to military conflicts and threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.86
     Parables
    -0.77
     Lounge
    -0.77
     Journals
    -0.74
     Loft
    -0.73
    NB
    -0.73
     anecd
    -0.72
     crochet
    -0.72
    0200
    -0.72
     Volunte
    -0.71
    POSITIVE LOGITS
     invading
    1.36
     aggress
    1.34
     milit
    1.34
     invaders
    1.33
     invasion
    1.33
     enemy
    1.29
     adversary
    1.29
     adversaries
    1.27
     conquest
    1.26
     Soviets
    1.26
    Activations Density 0.645%

    No Known Activations