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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. 8-RES-JB
    11. 124
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    Explanations

    mentions of wildlife and conservation efforts

    oai_token-act-pair · gpt-3.5-turbo

    references to wildlife and conservation topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.77
    ahon
    -0.76
    iffe
    -0.75
    heit
    -0.73
    adian
    -0.72
    nered
    -0.69
    ishi
    -0.69
    arity
    -0.69
    enton
    -0.67
    forth
    -0.67
    POSITIVE LOGITS
     Refuge
    0.99
     habitat
    0.95
     Conservation
    0.94
     refuge
    0.93
     biologist
    0.91
     habitats
    0.91
    conservancy
    0.89
     species
    0.88
     wildlife
    0.88
     reptiles
    0.86
    Activations Density 0.041%

    No Known Activations