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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22402
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    Explanations

    phrases related to casualties or injuries in various incidents or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to injuries and casualties in conflicts or incidents

    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
     Programs
    -0.76
    sonian
    -0.72
    inventoryQuantity
    -0.68
    Nothing
    -0.67
     Instruction
    -0.67
     Evolution
    -0.67
    cknow
    -0.67
     Gleaming
    -0.65
     srfAttach
    -0.65
     Gutenberg
    -0.65
    POSITIVE LOGITS
     injured
    1.10
     hospitalized
    1.07
    athi
    1.04
     killed
    1.02
     detained
    1.01
    involved
    0.99
     abducted
    0.95
     murdered
    0.94
     arrested
    0.91
     evacuated
    0.90
    Activations Density 0.190%

    No Known Activations