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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. 23333
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    capitalized names or titles

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Rockefeller
    -0.62
    eatures
    -0.59
     Kardash
    -0.59
    isSpecialOrderable
    -0.59
     Clarks
    -0.59
     occasion
    -0.58
    cation
    -0.58
    fitting
    -0.58
    ancies
    -0.57
    comings
    -0.57
    POSITIVE LOGITS
     guiActiveUn
    0.89
    rawdownloadcloneembedreportprint
    0.79
     Flavoring
    0.74
    EStreamFrame
    0.66
     partName
    0.66
     et
    0.65
     Productions
    0.64
     scoff
    0.64
     laughs
    0.63
     sings
    0.60
    Activations Density 0.158%

    No Known Activations