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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2488
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    Explanations

    questions, commands, and statements that express a sense of urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    interrogative and reflective phrases expressing questioning or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iggins
    -0.73
     Peak
    -0.62
    Newsletter
    -0.61
    Mand
    -0.59
    ammy
    -0.59
    risis
    -0.58
    Exit
    -0.57
     Sunshine
    -0.57
    election
    -0.57
    emin
    -0.56
    POSITIVE LOGITS
    cause
    0.84
    fortunately
    0.79
    JV
    0.73
     congr
    0.73
     goddamn
    0.68
     ********************************
    0.67
    tis
    0.64
    cffff
    0.64
     preferably
    0.63
     ****
    0.63
    Activations Density 0.581%

    No Known Activations