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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. 5383
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    Explanations

    terms related to wood or wood-based products

    oai_token-act-pair · gpt-3.5-turbo

    references to wood and its various characteristics or uses

    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
    orsche
    -0.71
     Sunshine
    -0.69
     Fren
    -0.69
    rences
    -0.68
    OPLE
    -0.66
     Goodbye
    -0.63
     Hunger
    -0.62
     altru
    -0.62
    uberty
    -0.62
    Reason
    -0.61
    POSITIVE LOGITS
    working
    1.17
     pulp
    1.05
    worker
    1.00
    grain
    1.00
    wind
    1.00
    ruff
    0.92
    stocks
    0.92
    cuts
    0.92
    workers
    0.92
     plantations
    0.91
    Activations Density 0.042%

    No Known Activations