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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. 2-RES-JB
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    Explanations

    terms related to wildlife and conservation efforts

    oai_token-act-pair · gpt-3.5-turbo

    references to wildlife and conservation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.75
    kus
    -0.73
    ishi
    -0.71
    nee
    -0.71
    urn
    -0.70
    sole
    -0.70
    ppard
    -0.69
    bern
    -0.68
    unts
    -0.67
    mid
    -0.66
    POSITIVE LOGITS
     wildlife
    1.12
     Conservation
    1.02
     biologist
    1.01
     Wildlife
    1.01
     biologists
    0.92
     habitat
    0.86
     conservation
    0.83
    DragonMagazine
    0.83
     biodiversity
    0.81
     species
    0.80
    Activations Density 0.008%

    No Known Activations