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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. 6908
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    Explanations

    photographer names and credits

    oai_token-act-pair · gpt-3.5-turbo

    references to photos and images along with their respective credits or sources

    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
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    Negative Logits
     leveling
    -0.71
    conservancy
    -0.67
    itars
    -0.66
    paio
    -0.64
    achine
    -0.63
     trapping
    -0.63
    ole
    -0.61
    onite
    -0.61
    activity
    -0.60
    luster
    -0.60
    POSITIVE LOGITS
     Getty
    1.50
     REUTERS
    1.44
    Getty
    1.36
     Rex
    1.17
     Reuters
    1.17
     AFP
    1.16
    Reuters
    1.16
    UTERS
    1.12
    AFP
    1.11
     Flickr
    1.06
    Activations Density 0.049%

    No Known Activations