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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. 6-RES-JB
    6. 17912
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    Explanations

    technical specifications related to screen resolutions and sizes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements or specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vine
    -0.73
    leave
    -0.71
    pocket
    -0.70
    abolic
    -0.69
    geist
    -0.67
    ãĤ¿
    -0.66
    fortune
    -0.65
    head
    -0.65
    think
    -0.64
    fruit
    -0.64
    POSITIVE LOGITS
     ILCS
    0.91
    abies
    0.78
    iated
    0.76
    monary
    0.72
    inyl
    0.72
    iate
    0.72
     sqor
    0.70
    Hz
    0.70
    éĹĺ
    0.70
    ruciating
    0.69
    Activations Density 0.091%

    No Known Activations