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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. 0-RES-JB
    11. 22197
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    Explanations

    phrases related to universities and research institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and research institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     swear
    -0.79
    FX
    -0.78
    UV
    -0.76
    FG
    -0.75
     prayers
    -0.70
    ITCH
    -0.68
    fx
    -0.68
    DH
    -0.67
     FG
    -0.66
     stricken
    -0.65
    POSITIVE LOGITS
     Carnegie
    4.30
    negie
    2.73
     Brookings
    2.11
     Rockefeller
    1.46
     Mellon
    1.34
    kefeller
    1.34
     RAND
    1.30
     Cornell
    1.22
     Vanderbilt
    1.17
     Cato
    1.09
    Activations Density 0.023%

    No Known Activations