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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. 3-RES-JB
    6. 2223
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    Explanations

    phrases related to instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol repeated throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     shack
    -0.73
    itably
    -0.70
     scatter
    -0.68
     decomp
    -0.68
     bed
    -0.68
     machine
    -0.68
     collecting
    -0.66
     supermarket
    -0.66
     scattering
    -0.66
     coast
    -0.66
    POSITIVE LOGITS
    ¹
    0.93
    £
    0.92
    ¡
    0.89
    ONSORED
    0.86
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    0.86
    į
    0.83
    ł
    0.82
    ĸļ
    0.82
     Ibid
    0.81
    º
    0.81
    Activations Density 0.412%

    No Known Activations