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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. 9-RES-JB
    11. 5903
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    Explanations

    proper nouns or phrases related to specific entities or topics

    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     eaves
    -0.65
     soaking
    -0.64
     nuts
    -0.63
     inund
    -0.63
    earch
    -0.63
     nightly
    -0.62
     impact
    -0.62
     resur
    -0.61
     electr
    -0.61
     assured
    -0.61
    POSITIVE LOGITS
    formerly
    1.25
    aka
    1.14
    ?)
    1.13
    sic
    1.10
    via
    1.09
    excluding
    1.06
    pron
    1.05
    ...)
    1.05
    also
    1.04
    click
    1.04
    Activations Density 0.128%

    No Known Activations