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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. 1-RES-JB
    11. 13072
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    Explanations

    Japanese names and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cows
    -0.69
     JPM
    -0.68
     msec
    -0.66
     LAPD
    -0.66
     Rockefeller
    -0.64
     tort
    -0.64
     DeVos
    -0.63
     CFR
    -0.63
     Cind
    -0.59
     Kimmel
    -0.58
    POSITIVE LOGITS
    Åį
    1.58
    Å«
    1.16
    Äĵ
    1.04
    su
    0.94
    Ä«
    0.94
    nance
    0.93
    nen
    0.93
    Äģ
    0.90
    vernment
    0.90
    ð
    0.88
    Activations Density 0.006%

    No Known Activations