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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. 4-RES-JB
    11. 16087
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    INDEX
    Explanations

    mentions of specific named entities, likely from titles such as books, movies, or articles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "The" indicating titles or references

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

    No Comments

    Negative Logits
     patiently
    -0.61
    poke
    -0.61
     knit
    -0.61
    pecially
    -0.60
     (%)
    -0.59
     shown
    -0.58
     until
    -0.58
     behalf
    -0.58
     recognised
    -0.57
     leve
    -0.57
    POSITIVE LOGITS
    oret
    1.25
    atre
    1.11
    resa
    1.09
    odor
    1.01
    ories
    0.94
     Economist
    0.93
    sis
    0.89
     Basics
    0.88
     Simpsons
    0.86
    odore
    0.86
    Activations Density 0.187%

    No Known Activations