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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. 3228
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    INDEX
    Explanations

    mentions of endangered or threatened species

    oai_token-act-pair · gpt-3.5-turbo

    references to endangered species and related conservation topics

    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
    loaded
    -0.77
    rack
    -0.75
    leeve
    -0.73
    load
    -0.73
    ibur
    -0.73
    ounce
    -0.72
    loading
    -0.72
    strap
    -0.70
    Nap
    -0.68
    DCS
    -0.67
    POSITIVE LOGITS
     Species
    1.33
     species
    1.30
    species
    1.15
     wildlife
    1.07
     extinct
    1.02
     habitat
    1.00
     biodiversity
    0.98
     mammals
    0.95
     animals
    0.91
     mammal
    0.91
    Activations Density 0.060%

    No Known Activations