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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
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    Explanations

    phrases related to violent events, specifically shootings

    oai_token-act-pair · gpt-3.5-turbo

    references to violent incidents, specifically shootings

    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
    GY
    -0.85
    undai
    -0.79
    ateg
    -0.77
    annis
    -0.74
    Label
    -0.73
    hw
    -0.73
    eday
    -0.73
    adian
    -0.72
    onge
    -0.72
    uchin
    -0.71
    POSITIVE LOGITS
     spree
    1.33
     rampage
    1.12
     deaths
    0.91
     shootings
    0.86
    nikov
    0.84
    powder
    0.80
     shooting
    0.80
     scenes
    0.79
     massacre
    0.79
     victims
    0.78
    Activations Density 0.026%

    No Known Activations