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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. 11-RES-JB
    11. 13393
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    INDEX
    Explanations

    references to items or entities being formally categorized or listed with a significant status or label

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the classification and listing of hazardous substances and endangered species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tales
    -0.72
     arguments
    -0.70
    nings
    -0.69
     kernels
    -0.67
    nington
    -0.67
     shells
    -0.66
     anecdotes
    -0.66
     curls
    -0.66
     intuition
    -0.66
     curl
    -0.65
    POSITIVE LOGITS
     hazardous
    1.12
    Category
    1.12
    hazard
    1.10
    eligible
    1.06
     Category
    1.06
     endangered
    1.05
    angered
    1.05
    priority
    1.04
     hazard
    1.04
     exempt
    1.02
    Activations Density 0.394%

    No Known Activations