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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. 10-RES-JB
    11. 6082
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    INDEX
    Explanations

    technology-related words and phrases, such as "phone," "website," and "YouTube."

    oai_token-act-pair · gpt-3.5-turbo

    references to sports or physical activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lder
    -0.64
    ousands
    -0.61
    verett
    -0.58
    idents
    -0.58
    auntlet
    -0.55
     havoc
    -0.54
    ults
    -0.54
    iries
    -0.53
    aughs
    -0.52
    ++++++++++++++++
    -0.52
    POSITIVE LOGITS
     wherein
    1.40
     whereby
    1.39
     titled
    1.24
     which
    1.14
     where
    1.11
     depicting
    1.10
     indicating
    1.10
     that
    1.07
     whose
    1.07
    that
    1.07
    Activations Density 0.836%

    No Known Activations