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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12269
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    Explanations

    dates or years

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in the text

    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
     nearest
    -0.62
     porous
    -0.61
    hed
    -0.59
     fault
    -0.59
     incap
    -0.59
     jurisd
    -0.58
     contingency
    -0.58
     whipping
    -0.57
     hypocr
    -0.57
    weak
    -0.56
    POSITIVE LOGITS
    å¹
    0.82
    -'
    0.78
    Reviewer
    0.68
    DragonMagazine
    0.67
     BCE
    0.64
     ESV
    0.64
     Sakuya
    0.63
    enhagen
    0.62
    Guide
    0.61
     Robbins
    0.60
    Activations Density 0.143%

    No Known Activations