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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. 8-RES-JB
    11. 24154
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inka
    -0.69
    wives
    -0.64
    tein
    -0.62
     Fairfax
    -0.61
     hour
    -0.60
     Advocate
    -0.60
    Age
    -0.60
     fart
    -0.60
     Lords
    -0.59
     shadow
    -0.59
    POSITIVE LOGITS
    eter
    1.47
    .,
    1.38
    .?
    1.28
    etc
    1.26
    .;
    1.14
    .).
    1.11
    .—
    1.10
    .:
    1.04
    .,"
    1.04
    .),
    1.03
    Activations Density 0.023%

    No Known Activations