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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. 9-RES-JB
    11. 24171
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    Explanations

    mentions of the word "drug", with variations like "drugs" and "Drug Enforcement"

    oai_token-act-pair · gpt-3.5-turbo

    references to drug-related topics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    uania
    -0.71
    ffen
    -0.71
    semble
    -0.69
    #$
    -0.69
     Sparkle
    -0.69
    orkshire
    -0.67
    hower
    -0.67
    ishable
    -0.67
    auga
    -0.66
    gaard
    -0.66
    POSITIVE LOGITS
    store
    1.15
    stores
    1.07
     trafficking
    1.04
     cartels
    1.02
     traffickers
    1.01
     overdoses
    0.98
     overdose
    0.97
     cartel
    0.96
     cz
    0.87
     smugglers
    0.86
    Activations Density 0.039%

    No Known Activations