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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. 1-RES-JB
    11. 22714
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    Explanations

    references to things that are routine, habitual, or recurring

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "regular" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IDA
    -0.81
    Sov
    -0.80
    Drug
    -0.76
    ï¸ı
    -0.75
    lda
    -0.74
    FG
    -0.73
    UST
    -0.71
    Technology
    -0.71
    geist
    -0.70
    Politics
    -0.68
    POSITIVE LOGITS
     regular
    0.97
     occurrence
    0.90
    ity
    0.89
    ised
    0.87
    etheless
    0.86
     weekday
    0.81
     weekly
    0.81
    oshenko
    0.81
    isation
    0.81
     intervals
    0.81
    Activations Density 0.012%

    No Known Activations