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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. 23053
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    INDEX
    Explanations

    phrases related to promoting, motivating, or supporting actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating encouragement or motivation

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    marine
    -0.74
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
    ynski
    -0.68
    abase
    -0.68
    iah
    -0.68
    coe
    -0.68
    lat
    -0.67
    ainted
    -0.67
    imposed
    -0.66
    figured
    -0.65
    POSITIVE LOGITS
     experimentation
    0.93
     youngsters
    0.86
     curiosity
    0.86
     conversions
    0.86
     caution
    0.84
     creativity
    0.84
     disobedience
    0.83
     participation
    0.83
     entrepreneurship
    0.82
     us
    0.81
    Activations Density 0.065%

    No Known Activations