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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. 478
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    Explanations

    information related to violent events and incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to violent incidents involving mass casualties

    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
    wcsstore
    -0.94
     beet
    -0.87
     lev
    -0.85
    agra
    -0.80
     irrigation
    -0.79
     IPM
    -0.77
    SpaceEngineers
    -0.76
     manoeuv
    -0.76
    soDeliveryDate
    -0.75
     Tribunal
    -0.74
    POSITIVE LOGITS
     gunman
    1.72
     shooter
    1.67
     shooters
    1.60
     Shooter
    1.53
     shootings
    1.47
     Sutherland
    1.42
     Newtown
    1.32
     gunmen
    1.32
     Shooting
    1.29
     NRA
    1.27
    Activations Density 0.406%

    No Known Activations