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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. 7-RES-JB
    11. 7504
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    Explanations

    specific phrases related to the beginning or initiation of a process or project

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .
    -0.77
    !.
    -0.77
    ().
    -0.74
     whilst
    -0.73
     whenever
    -0.73
    *.
    -0.72
     instead
    -0.72
     because
    -0.71
    .<
    -0.70
     regardless
    -0.70
    POSITIVE LOGITS
     latter
    1.06
     aforementioned
    1.00
    ses
    0.89
     latest
    0.87
     greatest
    0.84
     smallest
    0.83
     largest
    0.82
     slightest
    0.82
    oret
    0.81
     foregoing
    0.79
    Activations Density 0.435%

    No Known Activations