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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. 6267
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    Explanations

    mentions of civilian-related contexts in a military or law enforcement context

    oai_token-act-pair · gpt-3.5-turbo

    references to civilian-related contexts and issues

    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
    ologies
    -0.87
    rams
    -0.82
    href
    -0.82
    LER
    -0.78
    ology
    -0.78
    Torrent
    -0.78
    encing
    -0.76
    hetti
    -0.75
    DAY
    -0.74
    draw
    -0.74
    POSITIVE LOGITS
     casualties
    0.99
     casualty
    0.90
     airliner
    0.86
     civilian
    0.83
    ization
    0.80
     hostages
    0.79
     disarm
    0.75
     laborers
    0.73
    uclear
    0.71
    naissance
    0.71
    Activations Density 0.009%

    No Known Activations