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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. 7110
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    Explanations

    proper nouns, specifically focusing on cities, companies, and products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific entities related to brands, locations, and entertainment

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

    No Comments

    Negative Logits
    quartered
    -0.75
    ocumented
    -0.73
    atile
    -0.65
     newly
    -0.63
     canine
    -0.62
     multimedia
    -0.61
     newcom
    -0.61
     provisional
    -0.61
     petitioner
    -0.60
    eatures
    -0.60
    POSITIVE LOGITS
     :(
    1.06
     ;)
    1.01
     tho
    0.98
     anyways
    0.97
     :)
    0.95
    !!!!
    0.95
    ???
    0.94
     anyway
    0.93
     etc
    0.92
     anymore
    0.90
    Activations Density 0.577%

    No Known Activations