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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. 6-RES-JB
    11. 21813
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    Explanations

    references to superstition and related concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to superstition and its related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.87
    assetsadobe
    -0.81
    20439
    -0.79
    IRO
    -0.76
    tumblr
    -0.72
    Bloomberg
    -0.72
    rawdownloadcloneembedreportprint
    -0.71
    DragonMagazine
    -0.68
    ktop
    -0.68
    Spoiler
    -0.68
    POSITIVE LOGITS
    itious
    1.31
    ructure
    1.18
    ition
    1.01
    ific
    0.95
    inent
    0.93
    archy
    0.92
    itions
    0.92
    itionally
    0.92
    ovy
    0.92
    arily
    0.90
    Activations Density 0.023%

    No Known Activations