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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. 2873
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    Explanations

    terms related to land management and conservation

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to land, environment, and regulations

    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
    obin
    -0.88
     msec
    -0.83
     Telegram
    -0.82
     blackmail
    -0.80
    coni
    -0.78
    nikov
    -0.77
    ulhu
    -0.77
     Carlo
    -0.75
    tics
    -0.73
    opoulos
    -0.73
    POSITIVE LOGITS
     wetlands
    1.71
     conservation
    1.57
     landowners
    1.49
     wildlife
    1.49
     Conservation
    1.48
     biodiversity
    1.46
     habitat
    1.42
     forests
    1.41
     Wildlife
    1.39
     grazing
    1.38
    Activations Density 0.623%

    No Known Activations