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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. 18185
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    Explanations

    locations and events related to sports games

    oai_token-act-pair · gpt-3.5-turbo

    specific locations and events in relation to notable occurrences, like sporting events or incidents

    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
    ©¶æ¥µ
    -0.83
    lihood
    -0.83
    ccording
    -0.81
    20439
    -0.77
    Percent
    -0.63
    tiny
    -0.62
    arer
    -0.61
    Publisher
    -0.60
    ¥µ
    -0.60
    ":"/
    -0.60
    POSITIVE LOGITS
     ...
    0.91
     ..
    0.85
     southwestern
    0.72
     ................
    0.70
     ........
    0.68
     ....
    0.68
    .............
    0.68
     ..."
    0.65
    ....
    0.64
     ......
    0.64
    Activations Density 0.142%

    No Known Activations