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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. 4-RES-JB
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    Explanations

    references to educational institutions, specifically charter schools

    oai_token-act-pair · gpt-3.5-turbo

    references to charter schools and related educational terminology

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

    No Comments

    Negative Logits
    Downloadha
    -0.78
    nesota
    -0.76
    utenberg
    -0.74
    ocate
    -0.73
    ugs
    -0.72
    pez
    -0.72
     Rove
    -0.72
    hin
    -0.69
    ynthesis
    -0.68
    aunder
    -0.66
    POSITIVE LOGITS
     Charter
    0.87
    icut
    0.83
     charter
    0.83
    iton
    0.78
    iffs
    0.74
    zeb
    0.69
     CLIENT
    0.67
    inary
    0.66
    zman
    0.66
    fman
    0.65
    Activations Density 0.010%

    No Known Activations