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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. 8-RES-JB
    11. 10635
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    Explanations

    comparative adjectives indicating a higher degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating increasing complexity or gradation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    911
    -0.86
    Transfer
    -0.73
    Ds
    -0.72
    BILITIES
    -0.70
    ãĥĥãĥī
    -0.67
    heid
    -0.67
    ulner
    -0.66
     Skies
    -0.65
    adelphia
    -0.63
    ourses
    -0.63
    POSITIVE LOGITS
     forgiving
    0.82
     bitters
    0.81
     mortar
    0.73
     overboard
    0.72
     backstory
    0.71
     loosen
    0.69
     elbow
    0.69
     realism
    0.69
     reminis
    0.68
     luck
    0.68
    Activations Density 0.155%

    No Known Activations