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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. 17870
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    Explanations

    text related to performances, emotions, and Japanese media

    oai_token-act-pair · gpt-3.5-turbo

    expressions of admiration and excitement related to a specific subject or character

    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
    espie
    -1.01
     bolted
    -0.89
     Carson
    -0.85
     Rudd
    -0.84
     Webb
    -0.82
     JFK
    -0.80
     Lyons
    -0.80
     Lincoln
    -0.80
    Colorado
    -0.80
     NSW
    -0.79
    POSITIVE LOGITS
     manga
    1.51
    ãĢİ
    1.50
     ãĢĮ
    1.48
     anime
    1.44
     Anime
    1.40
     æ
    1.39
    ãĢIJ
    1.37
    âĺĨ
    1.35
     å
    1.34
    ãĢ
    1.33
    Activations Density 0.910%

    No Known Activations