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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. 9-RES-JB
    11. 24139
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    INDEX
    Explanations

    dates and sources of news articles or images

    oai_token-act-pair · gpt-3.5-turbo

    unique formatting elements or symbols used in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     nuts
    -0.77
     registry
    -0.75
     arbitrarily
    -0.75
     piping
    -0.74
    wagen
    -0.73
     appropri
    -0.72
     discrim
    -0.71
     eaves
    -0.70
     everyday
    -0.70
     paint
    -0.69
    POSITIVE LOGITS
    Reuters
    1.20
    Photo
    1.13
    UTERS
    1.04
    credit
    1.04
    written
    1.00
    Courtesy
    0.98
    Thom
    0.98
    updated
    0.96
    CNN
    0.94
    Phys
    0.94
    Activations Density 0.032%

    No Known Activations