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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. 10124
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    Explanations

    dates and locations typically formatted with slashes and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to media outlets and their logos

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     demol
    -0.79
     infiltr
    -0.79
     glide
    -0.78
     stalking
    -0.77
     creep
    -0.75
     notices
    -0.75
     crawl
    -0.74
     beetles
    -0.74
     assemb
    -0.73
     beetle
    -0.73
    POSITIVE LOGITS
    Flickr
    1.31
    Getty
    1.25
    Gall
    1.18
    Sham
    1.12
    Kin
    1.11
    etc
    1.08
    Hand
    1.06
    Wik
    1.04
    AFP
    1.04
    CI
    1.03
    Activations Density 0.052%

    No Known Activations