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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. 22565
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    INDEX
    Explanations

    mentions of plants, plant-related entities, or items related to environmental sciences

    oai_token-act-pair · gpt-3.5-turbo

    references to plants and plantations

    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
    olson
    -0.91
    agnar
    -0.86
     rou
    -0.73
     circum
    -0.70
     shooters
    -0.69
    ersion
    -0.67
     anonymity
    -0.67
    JSON
    -0.67
     slack
    -0.66
     MMR
    -0.66
    POSITIVE LOGITS
     Plant
    3.90
    plant
    2.88
     Plants
    2.41
     plant
    2.17
     plants
    1.83
     planting
    1.29
     plantation
    1.25
     Flower
    1.25
    aceae
    1.23
     planted
    1.15
    Activations Density 0.023%

    No Known Activations