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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. 7324
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    Explanations

    references to the armed forces

    oai_token-act-pair · gpt-3.5-turbo

    references to armed forces or military-related terms

    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
    rx
    -0.95
     Remastered
    -0.85
    article
    -0.79
    HUD
    -0.74
    rb
    -0.71
    acent
    -0.69
    DAY
    -0.68
    Bee
    -0.66
     Preferred
    -0.63
    arget
    -0.62
    POSITIVE LOGITS
     robbery
    1.07
     insurrection
    0.96
     robberies
    0.90
     robbers
    0.84
    ament
    0.82
     robber
    0.82
     guards
    0.82
     conflict
    0.80
     takeover
    0.79
     armed
    0.77
    Activations Density 0.024%

    No Known Activations