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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. 16432
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    Explanations

    headings or sections in a text, particularly if they contain technical information or locations

    oai_token-act-pair · gpt-3.5-turbo

    patterns of repeated or similar visual elements or structures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iller
    -0.79
     Loch
    -0.71
     Bridgewater
    -0.70
     Wiggins
    -0.65
     holder
    -0.63
     Ridley
    -0.63
    hai
    -0.63
    illed
    -0.63
    rive
    -0.62
     Canad
    -0.62
    POSITIVE LOGITS
    ===
    1.33
    ---------------
    1.28
    ------------
    1.27
    --------------
    1.26
    ==
    1.25
    ============
    1.24
    ======
    1.24
    ---
    1.23
    -----------
    1.22
    -------------
    1.21
    Activations Density 0.041%

    No Known Activations