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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. 14443
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    Explanations

    terms related to specific durations of time

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "For" indicating conditions or contexts

    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
    è¦ļéĨĴ
    -0.85
    marine
    -0.64
    zona
    -0.63
    æĺ¯
    -0.62
    BP
    -0.61
    arest
    -0.60
    LAB
    -0.59
    smanship
    -0.59
     jaws
    -0.58
    Introduced
    -0.58
    POSITIVE LOGITS
    gotten
    1.39
    bidden
    1.31
     example
    1.30
    cing
    1.28
     instance
    1.22
    ced
    1.14
    give
    1.09
     starters
    1.03
    gery
    0.98
    wards
    0.94
    Activations Density 0.067%

    No Known Activations