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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. 8800
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    Explanations

    references to drug-related content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of drugs and drug-related terms or activities

    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
    ffen
    -0.77
    gaard
    -0.72
     Duck
    -0.68
    elong
    -0.68
    #$
    -0.67
     Tyrann
    -0.66
    auga
    -0.65
    vironment
    -0.65
    hower
    -0.65
     Birds
    -0.65
    POSITIVE LOGITS
    stores
    1.10
    store
    1.10
     cartels
    1.09
     trafficking
    1.07
     overdoses
    1.05
     overdose
    1.03
     traffickers
    1.01
     cartel
    0.97
     drugs
    0.96
     addiction
    0.95
    Activations Density 0.029%

    No Known Activations