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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. 6-RES-JB
    11. 268
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    Explanations

    words related to warfare or conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to war and its impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    arlane
    -0.80
    */(
    -0.78
    aye
    -0.71
    thora
    -0.71
    )=(
    -0.70
     Helpful
    -0.70
    itte
    -0.70
    phia
    -0.70
    angelo
    -0.70
    igans
    -0.66
    POSITIVE LOGITS
    enegger
    0.98
    schild
    0.81
    adesh
    0.77
     sqor
    0.75
     Medals
    0.72
    ĪĴ
    0.71
     waged
    0.69
     Females
    0.69
     attrition
    0.69
     Afghanistan
    0.67
    Activations Density 0.352%

    No Known Activations