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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. 9282
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    Explanations

    words related to causality or consequence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "So" used to introduce statements or observations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    "},"
    -0.68
    thro
    -0.67
    ISO
    -0.61
    ICT
    -0.57
     (âĪĴ
    -0.57
    ysis
    -0.56
     UCHIJ
    -0.55
    ses
    -0.55
    ¯¯¯¯
    -0.54
    MpServer
    -0.54
    POSITIVE LOGITS
     why
    1.08
    fter
    1.04
    oner
    1.03
    aring
    0.99
     far
    0.91
     whence
    0.89
    oths
    0.86
     how
    0.84
    ften
    0.83
    why
    0.82
    Activations Density 0.056%

    No Known Activations