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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. 0-RES-JB
    11. 18122
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    Explanations

    topics related to wildlife and conservation efforts

    oai_token-act-pair · gpt-3.5-turbo

    references to wildlife and its preservation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rubin
    -0.74
     Draper
    -0.72
     Init
    -0.69
    iron
    -0.69
     Firm
    -0.68
    bra
    -0.68
     clenched
    -0.67
    sin
    -0.65
     Stub
    -0.64
     ¯
    -0.63
    POSITIVE LOGITS
     wildlife
    3.52
     Wildlife
    3.01
     biodiversity
    2.04
     livestock
    1.66
     wetlands
    1.65
     mammal
    1.53
     zoo
    1.52
     fisheries
    1.49
     woodland
    1.47
     conservation
    1.47
    Activations Density 0.021%

    No Known Activations