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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. 6-RES-JB
    11. 1714
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    Explanations

    sequences of underscore characters

    oai_token-act-pair · gpt-3.5-turbo

    patterns indicating visual elements or formatting in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ollar
    -0.68
    pora
    -0.65
    lling
    -0.62
    anan
    -0.62
    ãĥ´
    -0.62
    arest
    -0.61
     clipping
    -0.60
     denying
    -0.59
     Gunn
    -0.58
     mull
    -0.58
    POSITIVE LOGITS
    */
    0.99
    *****
    0.93
     =================================================================
    0.85
    edit
    0.78
    Requirements
    0.77
    ***
    0.76
    ---
    0.76
    ===
    0.74
    quote
    0.74
    ------
    0.72
    Activations Density 0.045%

    No Known Activations