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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. 7-RES-JB
    11. 7898
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the intention to explain or describe a subject

    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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    Negative Logits
     Allies
    -0.71
     Gamble
    -0.62
    Jar
    -0.61
     externalToEVAOnly
    -0.61
    Hon
    -0.61
    taboola
    -0.59
     Thou
    -0.57
     Beetle
    -0.57
     UNCLASSIFIED
    -0.57
     entrusted
    -0.56
    POSITIVE LOGITS
    ventus
    0.77
    links
    0.76
     spoilers
    0.73
    maxwell
    0.73
     links
    0.72
    :]
    0.71
    APTER
    0.70
     similarities
    0.69
     how
    0.69
     excerpts
    0.69
    Activations Density 0.219%

    No Known Activations