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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. 4-RES-JB
    11. 9515
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    INDEX
    Explanations

    mentions of civilian-related terms or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to civilian contexts or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ologies
    -0.91
    LER
    -0.82
    ology
    -0.81
    href
    -0.81
    Torrent
    -0.79
    rams
    -0.78
    itudinal
    -0.77
    draw
    -0.75
    ippi
    -0.74
    STEP
    -0.73
    POSITIVE LOGITS
     casualties
    1.04
     casualty
    0.94
    ization
    0.90
     airliner
    0.86
     civilian
    0.85
     disarm
    0.79
     hostages
    0.79
    ized
    0.78
     laborers
    0.77
    isation
    0.77
    Activations Density 0.013%

    No Known Activations