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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. 10-RES-JB
    11. 2680
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    INDEX
    Explanations

    words related to environmental conservation and specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to ecosystems and environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lear
    -0.88
    actionDate
    -0.73
    pload
    -0.73
     Ticket
    -0.72
    ãĥīãĥ©
    -0.69
    ADRA
    -0.69
    Machine
    -0.68
     satirical
    -0.68
     Pric
    -0.67
    ICE
    -0.65
    POSITIVE LOGITS
     vegetation
    1.30
     habitats
    1.27
     habitat
    1.26
     ecosystems
    1.23
     basin
    1.12
     soils
    1.12
     biodiversity
    1.10
     biome
    1.09
     wetlands
    1.09
     irrig
    1.08
    Activations Density 0.260%

    No Known Activations