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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. 3-RES-JB
    11. 15935
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    Explanations

    keywords related to historical events and analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to historical events or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -1.09
    nery
    -0.92
    geon
    -0.86
    rays
    -0.86
    ertodd
    -0.86
    chy
    -0.82
    arter
    -0.79
    gans
    -0.79
    ned
    -0.77
    DAQ
    -0.77
    POSITIVE LOGITS
     significance
    0.95
     revision
    0.92
    orically
    0.91
    orical
    0.90
     history
    0.86
     dramas
    0.84
     context
    0.82
     inaccur
    0.82
     precedent
    0.82
     realities
    0.82
    Activations Density 0.013%

    No Known Activations