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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    descriptions or mentions of natural habitats

    oai_token-act-pair · gpt-3.5-turbo

    mentions of natural habitats

    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
    MG
    -0.72
    lis
    -0.68
    RAW
    -0.65
    wra
    -0.64
    LINE
    -0.62
    ricks
    -0.62
    Wr
    -0.61
    analy
    -0.60
     Wire
    -0.60
    eely
    -0.60
    POSITIVE LOGITS
     habitat
    3.81
     habitats
    2.82
     Habit
    1.57
     wetlands
    1.54
     nesting
    1.47
     ecological
    1.41
     ecology
    1.38
     biodiversity
    1.35
     enclosure
    1.31
     ecosystems
    1.28
    Activations Density 0.017%

    No Known Activations