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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    phrases related to the term "canon."

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "canon" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Frameworks
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    wx
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    Beaut
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     Pupp
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    stract
    -0.67
    undai
    -0.65
    Room
    -0.64
    -+
    -0.64
    wid
    -0.64
    RESULTS
    -0.63
    POSITIVE LOGITS
    icals
    1.13
    icles
    1.03
    ical
    1.00
    icity
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    icle
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    ically
    0.89
    izations
    0.85
    ization
    0.82
    ized
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    iton
    0.80
    Activations Density 0.019%

    No Known Activations