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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. 9-RES-JB
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    Explanations

    reports of incidents involving casualties

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of casualties and injuries in reports of incidents or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.85
     Dragonbound
    -0.76
     Preferences
    -0.75
     srfAttach
    -0.73
     Conversation
    -0.70
    Ł
    -0.69
     Balanced
    -0.67
     Scrib
    -0.66
    Myth
    -0.66
     Grass
    -0.65
    POSITIVE LOGITS
     injured
    1.33
     hospitalized
    1.27
     arrested
    1.23
     killed
    1.19
     detained
    1.19
     evacuated
    1.18
     wounded
    1.13
     murdered
    1.03
     ejected
    1.03
     fatalities
    1.00
    Activations Density 0.124%

    No Known Activations