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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. 59
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    Explanations

    proper names of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly "Samuel" and "Lyndon"

    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
    ebook
    -0.89
    framework
    -0.84
    eper
    -0.75
    duction
    -0.73
    raising
    -0.73
    enhagen
    -0.73
    India
    -0.71
    REP
    -0.71
    hered
    -0.70
    enegger
    -0.70
    POSITIVE LOGITS
     Samuel
    0.95
    sson
    0.88
    uel
    0.82
     Abram
    0.81
    son
    0.81
     Shepard
    0.79
     Morse
    0.78
     Colt
    0.76
    ists
    0.74
    stown
    0.73
    Activations Density 0.004%

    No Known Activations