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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. 11-RES-JB
    11. 1948
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    complex phrases or terms related to a specific topic or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Rivera
    -0.76
     snakes
    -0.69
     autos
    -0.67
     Mayweather
    -0.67
     Livingston
    -0.65
     Cabrera
    -0.65
     streetcar
    -0.62
     crocod
    -0.62
     Cyrus
    -0.62
     absence
    -0.61
    POSITIVE LOGITS
    ung
    1.36
    ische
    1.31
    lich
    1.17
    ischer
    1.16
    ellen
    1.15
    icht
    1.14
    eln
    1.14
    ä
    1.12
    ü
    1.11
    heit
    1.10
    Activations Density 0.109%

    No Known Activations