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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 3223
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    Explanations

    non-standard token patterns, possibly for a specific task or encoding scheme

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data or quantitative references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ertodd
    -0.67
    POSITIVE LOGITS
    Trivia
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    Characters
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    Contents
    1.45
    Appearances
    1.44
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    Gallery
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    Gameplay
    1.23
    Examples
    1.19
    References
    1.19
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    Activations Density 0.329%

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