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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. 11-RES-JB
    11. 13718
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    Explanations

    words related to weight or heaviness

    oai_token-act-pair · gpt-3.5-turbo

    references to weight or measurement, particularly the word "ton"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Princ
    -0.70
     Koen
    -0.62
     Danger
    -0.61
     Spiegel
    -0.60
     Fighters
    -0.57
     Braves
    -0.56
     Journals
    -0.56
     governed
    -0.56
     Falcons
    -0.55
     Fitzgerald
    -0.55
    POSITIVE LOGITS
    ne
    1.34
    neau
    1.34
    nel
    1.22
    eful
    1.13
    eless
    1.08
    nes
    1.04
    ality
    1.03
    ician
    1.02
    alities
    1.00
    Ton
    0.99
    Activations Density 0.044%

    No Known Activations