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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. 9-RES-JB
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    Explanations

    expressions of gratitude or thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and thankfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opers
    -0.74
    okin
    -0.74
    oto
    -0.67
    opped
    -0.63
    change
    -0.62
    uve
    -0.62
    uter
    -0.62
    agate
    -0.61
    quer
    -0.60
    bill
    -0.60
    POSITIVE LOGITS
    giving
    1.22
    fulness
    0.88
    ctuary
    0.85
     acknowled
    0.84
     citiz
    0.82
    gements
    0.80
     deity
    0.80
     God
    0.79
    gments
    0.78
     pardon
    0.78
    Activations Density 0.042%

    No Known Activations