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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. 15590
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    Explanations

    mentions of armed individuals or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "armed."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rx
    -0.94
     Remastered
    -0.88
    HUD
    -0.78
    article
    -0.71
    rb
    -0.71
    âĸ¬
    -0.70
    RGB
    -0.66
    arget
    -0.65
    atom
    -0.65
    MAL
    -0.65
    POSITIVE LOGITS
     robbery
    1.11
     robberies
    0.92
     insurrection
    0.91
     guards
    0.91
     armed
    0.89
     robber
    0.86
     robbers
    0.86
    ament
    0.83
     uprising
    0.81
     takeover
    0.80
    Activations Density 0.022%

    No Known Activations