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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. 6-RES-JB
    11. 2683
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    Explanations

    calls to action for engagement on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to podcasts and social media engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Marginal
    -0.67
    walk
    -0.64
     Turing
    -0.59
     amput
    -0.56
    ework
    -0.56
    rison
    -0.55
     Turns
    -0.55
    igated
    -0.55
     examinations
    -0.54
     Examination
    -0.54
    POSITIVE LOGITS
    aturdays
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    Email
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    eday
    0.70
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     ;)
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     publisher
    0.68
     subscription
    0.67
    ospons
    0.67
    Activations Density 0.685%

    No Known Activations