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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. 11-RES-JB
    11. 14834
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    Explanations

    mentions of the word "pepper" and related terms like "spray" and "spraying"

    oai_token-act-pair · gpt-3.5-turbo

    references to pepper spray

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hematic
    -0.79
    arist
    -0.68
     Cannot
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    UE
    -0.65
     Thou
    -0.62
     HIP
    -0.62
     Idle
    -0.61
    PsyNetMessage
    -0.61
    ITNESS
    -0.60
    POSITIVE LOGITS
    mint
    1.56
    oni
    1.26
    onis
    1.01
    illo
    0.98
     spray
    0.95
    vine
    0.94
    jack
    0.91
    spr
    0.89
    cone
    0.86
    bush
    0.86
    Activations Density 0.076%

    No Known Activations