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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. 12-RES-JB
    11. 4340
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    INDEX
    Explanations

    names of athletes

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the name "Marcus"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boarding
    -0.68
    ossier
    -0.65
    mitt
    -0.64
    sworth
    -0.63
    BOOK
    -0.63
    ning
    -0.62
    perature
    -0.62
     hypers
    -0.60
    TRUMP
    -0.59
    arist
    -0.58
    POSITIVE LOGITS
     Mari
    1.08
     Peters
    0.91
     Spears
    0.86
     Paige
    0.84
     Aure
    0.84
     Thornton
    0.81
     Crom
    0.77
     Hutch
    0.75
     Morris
    0.74
     Adin
    0.73
    Activations Density 0.015%

    No Known Activations