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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. 6019
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    Explanations

    pairs of items or concepts that are related or compared to each other

    oai_token-act-pair · gpt-3.5-turbo

    repetitive use of the word "the."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.74
    stocks
    -0.71
    asca
    -0.68
    bourg
    -0.67
    iard
    -0.64
    watching
    -0.64
    ql
    -0.63
    meet
    -0.62
    cape
    -0.62
    istan
    -0.61
    POSITIVE LOGITS
     remainder
    1.69
     latter
    1.64
     rest
    1.50
     second
    1.48
     remaining
    1.36
     third
    1.32
     other
    1.29
     others
    1.27
     fourth
    1.24
     fifth
    1.17
    Activations Density 0.285%

    No Known Activations