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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. 9-RES-JB
    11. 2760
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Monocle" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ETF
    -0.69
     Indust
    -0.61
     dividends
    -0.61
    gerald
    -0.60
     Beir
    -0.59
    ãĤ¤ãĥĪ
    -0.58
     resemb
    -0.57
     impro
    -0.57
     unbeliev
    -0.56
    ONSORED
    -0.56
    POSITIVE LOGITS
    theless
    0.86
    opol
    0.78
    atl
    0.78
    phrine
    0.77
    onial
    0.75
    achine
    0.71
    ropolis
    0.71
    hao
    0.69
    rals
    0.69
    apse
    0.68
    Activations Density 0.157%

    No Known Activations