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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. 17803
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    Explanations

    informative snippets or call-to-action phrases typically found at the end of articles

    oai_token-act-pair · gpt-3.5-turbo

    the presence of empty or non-standard tokens, indicating potential structure or formatting in the text

    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
     theirs
    -0.55
     embargo
    -0.48
     abandon
    -0.47
     rushes
    -0.47
     amnesty
    -0.46
     obligation
    -0.45
     involvement
    -0.45
     circulation
    -0.45
     displacement
    -0.45
     cons
    -0.45
    POSITIVE LOGITS
    Untitled
    1.04
    Abstract
    1.00
    WASHINGTON
    1.00
    Description
    0.98
    CLOSE
    0.96
    CTV
    0.93
    Overview
    0.91
    SAN
    0.91
    Welcome
    0.88
    TOR
    0.84
    Activations Density 0.112%

    No Known Activations