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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
    11. 1386
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    Explanations

    technical terms or phrases related to a specific topic, potentially from various areas

    oai_token-act-pair · gpt-3.5-turbo

    words relating to calcium (Ca) and its various contexts

    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
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    Negative Logits
    eering
    -0.84
    lings
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    schild
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    tk
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    geist
    -0.71
    tops
    -0.68
    pocket
    -0.64
    bucks
    -0.61
    cats
    -0.61
    matically
    -0.61
    POSITIVE LOGITS
    esar
    1.36
    ution
    1.24
    ption
    1.19
    UTION
    1.16
    utions
    1.00
    usa
    0.98
    using
    0.89
    ñ
    0.88
    us
    0.85
    utes
    0.85
    Activations Density 0.028%

    No Known Activations