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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. 6-RES-JB
    11. 687
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    Explanations

    proper nouns referring to people or places

    oai_token-act-pair · gpt-3.5-turbo

    affirmative statements and usages of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mare
    -0.80
    arta
    -0.75
    ethy
    -0.70
    interstitial
    -0.69
    ierra
    -0.69
    vernment
    -0.67
     VIDEOS
    -0.65
    etc
    -0.65
    emi
    -0.64
    mercial
    -0.64
    POSITIVE LOGITS
     originally
    1.07
     instrumental
    0.97
     initially
    0.87
     last
    0.86
     earlier
    0.85
     conceived
    0.83
     yesterday
    0.79
     unsuccessful
    0.76
     born
    0.75
     gracious
    0.74
    Activations Density 0.768%

    No Known Activations