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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. 7-RES-JB
    11. 7921
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    INDEX
    Explanations

    names or references to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.78
    atures
    -0.73
    ppel
    -0.72
    glomer
    -0.71
    keye
    -0.70
     pregn
    -0.69
     Clicker
    -0.67
    Philadelphia
    -0.66
     Myster
    -0.66
     ster
    -0.66
    POSITIVE LOGITS
     Ali
    1.05
     Khan
    1.04
    ullah
    1.04
     Sharif
    1.03
     Hussain
    1.01
    uddin
    1.01
     Mohamed
    0.99
    abad
    0.98
     Hussein
    0.97
     bin
    0.97
    Activations Density 0.162%

    No Known Activations