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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
    11. 7775
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    INDEX
    Explanations

    phrases related to the military or combat situations

    oai_token-act-pair · gpt-3.5-turbo

    references to martial arts

    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
    paste
    -0.91
    apo
    -0.72
     Mine
    -0.69
    ilus
    -0.68
    egg
    -0.66
    uds
    -0.65
    ESA
    -0.65
    center
    -0.65
     Progress
    -0.64
     Paste
    -0.63
    POSITIVE LOGITS
     martial
    4.04
     Martial
    3.07
     Jiu
    1.43
    mart
    1.39
     Kung
    1.31
     samurai
    1.29
     MMA
    1.20
     swords
    1.19
     boxing
    1.15
    military
    1.13
    Activations Density 0.022%

    No Known Activations