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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. 11-RES-JB
    11. 279
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    Explanations

    references to a physical garden or activities related to gardening

    oai_token-act-pair · gpt-3.5-turbo

    references to gardens and gardening-related activities

    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
    esty
    -0.79
    imaru
    -0.74
    channelAvailability
    -0.73
    shock
    -0.65
     Claud
    -0.63
    pter
    -0.62
     runaway
    -0.61
    mington
    -0.61
    EStreamFrame
    -0.60
    itudes
    -0.60
    POSITIVE LOGITS
     garden
    1.01
     gardens
    0.96
     hose
    0.94
     gard
    0.88
     Garden
    0.87
    hire
    0.85
     vegetables
    0.82
     gardening
    0.79
     patio
    0.79
    ers
    0.79
    Activations Density 0.056%

    No Known Activations