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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. 66
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    Explanations

    instances of violent or criminal activities such as home invasions, robberies, shootings, and crashes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to violent crimes and incidents

    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
    izons
    -0.85
     Cosponsors
    -0.83
     icons
    -0.73
    icons
    -0.72
     repositories
    -0.71
     Guides
    -0.70
     stars
    -0.69
     reserves
    -0.68
    apps
    -0.67
     virtues
    -0.67
    POSITIVE LOGITS
     involving
    1.22
     altercation
    1.03
     perpetrated
    0.94
     accident
    0.91
     spree
    0.90
     wherein
    0.89
     near
    0.86
     incident
    0.85
     triggered
    0.82
     conducted
    0.82
    Activations Density 0.202%

    No Known Activations