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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. 1-RES-JB
    11. 6529
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    INDEX
    Explanations

    references to recurrent or repeated subjects or topics

    oai_token-act-pair · gpt-3.5-turbo

    recurring themes in various forms of storytelling or artistic expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARD
    -0.77
    GBT
    -0.77
    kes
    -0.75
    ords
    -0.74
    chieve
    -0.73
    ARDS
    -0.72
    Ł
    -0.72
    IB
    -0.68
    ENCE
    -0.68
    ĵ
    -0.67
    POSITIVE LOGITS
     themes
    1.50
     theme
    1.17
    theme
    1.07
     motif
    1.03
    Theme
    0.86
     Theme
    0.85
     guiActiveUn
    0.83
    itaire
    0.80
     tropes
    0.77
     concess
    0.77
    Activations Density 0.005%

    No Known Activations