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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. 9-RES-JB
    11. 24112
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    Explanations

    relevant phrases related to the spatial placement or integration of objects

    oai_token-act-pair · gpt-3.5-turbo

    references to food and its integration into various aspects of life

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    MpServer
    -0.90
     largeDownload
    -0.70
    usive
    -0.63
    URI
    -0.62
    volent
    -0.61
     reperc
    -0.60
    cum
    -0.60
    VID
    -0.60
     represented
    -0.58
    Asset
    -0.58
    POSITIVE LOGITS
     everyday
    0.94
     classrooms
    0.93
     supermarkets
    0.91
     kitchens
    0.86
     malls
    0.84
     homes
    0.83
     salads
    0.82
     EVERY
    0.80
     supermarket
    0.80
     museums
    0.79
    Activations Density 0.678%

    No Known Activations