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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
    11. 2007
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    Explanations

    phrases and terms related to death investigations and fatal incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to fatalities and incidents involving death

    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
     interfaces
    -0.71
     weights
    -0.70
     levers
    -0.70
     salaries
    -0.66
    cients
    -0.65
     wield
    -0.64
    gemony
    -0.64
     snipp
    -0.64
    inker
    -0.64
     invests
    -0.64
    POSITIVE LOGITS
     unsolved
    1.10
     tragic
    1.06
    Scene
    0.96
     attributable
    0.90
     occurring
    0.90
     caused
    0.89
     attributed
    0.89
     Outbreak
    0.87
     traumatic
    0.87
     involving
    0.86
    Activations Density 0.392%

    No Known Activations