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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. 3541
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    Explanations

    the word "quite."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express partiality or degree of certainty

    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
    orer
    -0.75
    uments
    -0.72
    ogi
    -0.71
     DRAG
    -0.70
    lis
    -0.65
    uana
    -0.65
    ELD
    -0.65
    Reviewer
    -0.62
    externalActionCode
    -0.62
    ously
    -0.61
    POSITIVE LOGITS
    icable
    0.73
    ifiable
    0.73
     sure
    0.72
     Enough
    0.72
     reconcil
    0.72
     enough
    0.70
     fit
    0.68
     satisfactory
    0.66
     finished
    0.65
     matching
    0.63
    Activations Density 0.022%

    No Known Activations