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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. 6934
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    INDEX
    Explanations

    specific patterns with symbols and numbers intermixed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to struggle or overcoming adversity

    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
    .","
    -0.59
    )."
    -0.59
    .,"
    -0.56
    ";
    -0.55
    Åį
    -0.55
    ."[
    -0.55
     âĢ¦"
    -0.55
     ."
    -0.54
    entimes
    -0.53
    "—
    -0.53
    POSITIVE LOGITS
     apologised
    0.59
     Conclusion
    0.59
     apologise
    0.58
     confir
    0.55
    Conclusion
    0.52
     NRL
    0.52
    Spoiler
    0.51
    ggle
    0.50
    iership
    0.50
     festive
    0.50
    Activations Density 1.431%

    No Known Activations