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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. 10-RES-JB
    11. 6177
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    Explanations

    professional titles and affiliations

    oai_token-act-pair · gpt-3.5-turbo

    references to journalists and their work within media contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uggle
    -0.76
    Ö¼
    -0.75
    assault
    -0.72
    mol
    -0.66
     Marketable
    -0.66
     snowball
    -0.65
    orsi
    -0.64
    interstitial
    -0.63
     inhibitors
    -0.62
    ahime
    -0.62
    POSITIVE LOGITS
     Katie
    1.33
     Jonah
    1.31
     Laura
    1.23
     Martha
    1.23
     Nate
    1.23
     Stephanie
    1.22
     Pamela
    1.21
     Samantha
    1.21
     Jonathan
    1.21
     Becky
    1.21
    Activations Density 0.124%

    No Known Activations