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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. 10-RES-JB
    11. 6497
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    Explanations

    dates and time-related words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "since" and other markers of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ieu
    -0.74
    ella
    -0.74
    ibe
    -0.73
    Optional
    -0.72
    oops
    -0.70
    ãĤ¨ãĥ«
    -0.69
    alo
    -0.68
    eem
    -0.68
    onica
    -0.68
    inki
    -0.67
    POSITIVE LOGITS
     however
    0.96
     countless
    0.93
     numerous
    0.88
     successive
    0.87
     innumerable
    0.83
     psychologists
    0.79
     since
    0.79
     dozens
    0.78
     hundreds
    0.78
     thousands
    0.78
    Activations Density 0.132%

    No Known Activations