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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8165
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    INDEX
    Explanations

    words related to forests and natural environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to forests and related environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FontSize
    -0.78
    pter
    -0.74
    OPLE
    -0.67
    nor
    -0.63
    enger
    -0.63
    ptions
    -0.63
    dat
    -0.62
    IU
    -0.61
     Stanton
    -0.61
    mir
    -0.58
    POSITIVE LOGITS
     canopy
    1.08
    lands
    1.04
     vegetation
    0.98
     habitat
    0.95
    forest
    0.94
     forests
    0.94
     biome
    0.94
     habitats
    0.91
     ecosystems
    0.89
     ecology
    0.87
    Activations Density 0.064%

    No Known Activations