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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. 2856
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    Explanations

    questions being asked

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "asked" and its varying contexts

    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
    Ĥ¬
    -0.65
    erno
    -0.63
     mars
    -0.60
    TPS
    -0.57
    atten
    -0.57
     smoke
    -0.56
    Fit
    -0.56
    rites
    -0.55
    Zone
    -0.54
    due
    -0.54
    POSITIVE LOGITS
     questions
    1.13
    naires
    0.91
     question
    0.85
    naire
    0.84
     repeatedly
    0.83
     Questions
    0.83
     forgiveness
    0.83
     pardon
    0.81
     politely
    0.79
     rhet
    0.77
    Activations Density 0.039%

    No Known Activations