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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. 8-RES-JB
    11. 12941
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    INDEX
    Explanations

    mentions of police and law enforcement related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement or police activity

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    xual
    -0.91
    opian
    -0.89
    owship
    -0.76
    arial
    -0.76
    pas
    -0.76
    yip
    -0.75
    thal
    -0.73
    osi
    -0.72
    interstitial
    -0.72
    absor
    -0.72
    POSITIVE LOGITS
     officers
    1.19
     departments
    1.08
     officer
    1.02
     Officers
    1.00
     commissioner
    0.96
     Commissioner
    0.96
     investigators
    0.96
     Constable
    0.95
     scanners
    0.95
     detectives
    0.94
    Activations Density 0.058%

    No Known Activations