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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5256
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    INDEX
    Explanations

    scientific terms and references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Scientific" and related variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owitz
    -0.79
    cember
    -0.79
    haul
    -0.79
    leans
    -0.76
    choes
    -0.75
    cles
    -0.75
    itsch
    -0.75
    stan
    -0.74
    gebra
    -0.74
    vich
    -0.74
    POSITIVE LOGITS
     Scientific
    0.88
    ivity
    0.80
    ally
    0.78
     Printed
    0.77
     Yankee
    0.72
    erella
    0.72
     Pilgrim
    0.72
     McA
    0.70
    unia
    0.70
    ified
    0.69
    Activations Density 0.043%

    No Known Activations