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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. 17484
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    Explanations

    proper nouns related to specific locations, such as counties and cities

    oai_token-act-pair · gpt-3.5-turbo

    instances of unique creatures or beings

    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
     Grail
    -0.75
     Horus
    -0.71
     Merlin
    -0.68
     backstage
    -0.66
     istg
    -0.64
    chwitz
    -0.64
     tread
    -0.64
     Rue
    -0.64
     Gaddafi
    -0.64
     centrif
    -0.64
    POSITIVE LOGITS
     County
    1.34
     City
    1.05
    State
    1.01
    ansas
    1.00
     counties
    0.97
     Rapids
    0.97
    ville
    0.96
    adelphia
    0.96
     COUNTY
    0.96
    sylvania
    0.96
    Activations Density 0.347%

    No Known Activations