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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. 3-RES-JB
    11. 24245
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    INDEX
    Explanations

    location names and related information like cities and countries

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters that resemble visual formatting or layout elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oku
    -0.74
     vision
    -0.72
    vision
    -0.69
    fish
    -0.68
    iller
    -0.66
    agos
    -0.66
    lite
    -0.66
    hua
    -0.63
     Beard
    -0.63
    imeter
    -0.61
    POSITIVE LOGITS
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    1.14
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    1.13
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    1.12
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    1.11
    ===
    1.10
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    1.10
    ==
    1.07
    --------
    1.07
    -----------
    1.06
    -------
    1.05
    Activations Density 0.012%

    No Known Activations