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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. 3-RES-JB
    11. 4298
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    Explanations

    references to law enforcement or criminal activities.

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the police

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.90
    xual
    -0.85
    piring
    -0.76
    nces
    -0.75
    vironment
    -0.74
    arget
    -0.74
    ranged
    -0.74
    uces
    -0.73
    ndra
    -0.72
    bp
    -0.71
    POSITIVE LOGITS
     officers
    1.26
     officer
    1.21
     departments
    1.10
     Officers
    1.03
     commissioner
    1.01
     academy
    0.98
     department
    0.96
     superintendent
    0.95
     brutality
    0.94
     chiefs
    0.93
    Activations Density 0.055%

    No Known Activations