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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. 5733
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    Explanations

    university names

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and colleges

    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
    conservancy
    -0.89
    cffff
    -0.76
    itionally
    -0.73
    termination
    -0.73
     answ
    -0.73
    ittered
    -0.73
     conclud
    -0.73
    informed
    -0.73
    uders
    -0.72
    ensibly
    -0.72
    POSITIVE LOGITS
     âĵĺ
    1.06
     Miscellaneous
    1.05
     Various
    0.86
     Han
    0.85
     Kazakh
    0.85
     Apollo
    0.84
     Zin
    0.83
     Zo
    0.83
     Other
    0.82
     Aster
    0.81
    Activations Density 0.154%

    No Known Activations