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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. 12-RES-JB
    11. 5052
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    INDEX
    Explanations

    descriptions related to outdoor activities and exploration

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    statements about nature and environmental themes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Transfer
    -0.73
    Shield
    -0.73
     Phar
    -0.72
     $_
    -0.71
    Leaks
    -0.71
    contract
    -0.69
    ãĤ¡
    -0.69
     CLIENT
    -0.69
     Juventus
    -0.69
     Fraud
    -0.69
    POSITIVE LOGITS
     wilderness
    1.66
     hiking
    1.57
     wildlife
    1.54
     hikers
    1.53
     outdoors
    1.52
     Yellowstone
    1.48
     canoe
    1.46
     Wilderness
    1.42
     Yosemite
    1.40
     landscapes
    1.40
    Activations Density 1.107%

    No Known Activations