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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. 7-RES-JB
    11. 17176
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    Explanations

    situations where the text is prompting the reader to continue reading

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases indicating ongoing actions or options to continue reading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.86
    axter
    -0.73
    »Ĵ
    -0.71
    rador
    -0.66
    ounty
    -0.65
    umin
    -0.63
    models
    -0.61
    gyn
    -0.61
    EStreamFrame
    -0.60
    bid
    -0.60
    POSITIVE LOGITS
     Continue
    0.75
     Reading
    0.69
     scrolling
    0.69
     Loading
    0.67
     CONTIN
    0.67
     reading
    0.65
     Advertisement
    0.65
     Continued
    0.62
     McConnell
    0.62
     Transcript
    0.61
    Activations Density 0.013%

    No Known Activations