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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. 8-RES-JB
    11. 14327
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    INDEX
    Explanations

    mentions of critical reviews or commentary

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation, specifically commas

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     conclud
    -0.64
     proble
    -0.59
     frontline
    -0.59
     behavi
    -0.58
     exha
    -0.56
     explan
    -0.54
     enthusi
    -0.54
     grounding
    -0.54
     entire
    -0.53
     describ
    -0.53
    POSITIVE LOGITS
    nee
    0.78
    please
    0.77
     etc
    0.73
    govtrack
    0.72
     Kinnikuman
    0.69
     please
    0.68
     whence
    0.64
     supra
    0.63
    channelAvailability
    0.63
    actionDate
    0.62
    Activations Density 0.147%

    No Known Activations