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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. 10-RES-JB
    11. 10318
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    Explanations

    reports of tragic events involving casualties

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties and injuries resulting from violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dime
    -0.63
     seamlessly
    -0.63
    galitarian
    -0.63
     univers
    -0.61
     Millenn
    -0.61
     introductory
    -0.60
     ALWAYS
    -0.60
     disclaimer
    -0.59
    ooth
    -0.59
    dayName
    -0.59
    POSITIVE LOGITS
     wounded
    1.36
     injured
    1.29
     wounding
    1.26
     injuring
    1.18
     injure
    1.05
     others
    1.03
     injuries
    1.01
     hospitalized
    1.00
     Others
    0.99
     critically
    0.93
    Activations Density 0.177%

    No Known Activations