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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. 7-RES-JB
    11. 11511
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    Explanations

    proper nouns that are likely associated with an image or a photo

    oai_token-act-pair · gpt-3.5-turbo

    references to authors or creators of content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antle
    -0.73
    phrine
    -0.73
    uality
    -0.71
    iqueness
    -0.68
     noses
    -0.67
    Chall
    -0.66
    ulnerable
    -0.65
    MpServer
    -0.65
    stones
    -0.65
    ighth
    -0.64
    POSITIVE LOGITS
     Evan
    0.94
     Pablo
    0.93
     Erik
    0.87
     Kathryn
    0.86
     Shutterstock
    0.84
     Kev
    0.84
     Gerald
    0.82
     Danielle
    0.81
     Nate
    0.80
     Karin
    0.80
    Activations Density 0.018%

    No Known Activations