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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. 9-RES-JB
    6. 24301
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    INDEX
    Explanations

    names of newspapers

    oai_token-act-pair · gpt-3.5-turbo

    key figures and entities associated with significant cultural or historical impact

    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
    ebin
    -0.91
    2017
    -0.83
    zbollah
    -0.80
     selfies
    -0.79
    bnb
    -0.78
    ratom
    -0.78
     emoji
    -0.78
    ISIS
    -0.78
    andowski
    -0.77
    Brexit
    -0.76
    POSITIVE LOGITS
    oslov
    1.08
     1909
    1.06
     Negro
    1.05
     1946
    1.03
     1912
    1.03
     1964
    1.03
     1929
    1.03
     1935
    1.02
     1961
    1.02
     1934
    1.01
    Activations Density 1.616%

    No Known Activations