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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. 8550
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    INDEX
    Explanations

    speech patterns indicating uncertainty

    oai_token-act-pair · gpt-3.5-turbo

    conversational cues and sentiments

    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
    bryce
    -0.63
     ç¥ŀ
    -0.59
     respectively
    -0.56
     guiName
    -0.55
     Warehouse
    -0.55
     Pwr
    -0.55
    usalem
    -0.54
    nect
    -0.53
    ricane
    -0.53
     Lastly
    -0.52
    POSITIVE LOGITS
     paraph
    0.81
     reply
    0.69
     ital
    0.68
     quotation
    0.68
     typew
    0.67
     quoting
    0.67
     Twain
    0.65
     caveats
    0.63
     typing
    0.63
     answ
    0.63
    Activations Density 1.728%

    No Known Activations