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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. 8-RES-JB
    6. 2996
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    INDEX
    Explanations

    names of places and people

    oai_token-act-pair · gpt-3.5-turbo

    sentences that include significant or notable events

    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
    •Partition Features Layer 8 GPT2 Small
    " token" vs "Token"

    No Comments

    Negative Logits
     favor
    -0.82
     lab
    -0.81
     enriched
    -0.80
     metic
    -0.79
     elbow
    -0.78
     indexed
    -0.78
     noise
    -0.77
     gelatin
    -0.77
     regression
    -0.77
     sport
    -0.76
    POSITIVE LOGITS
    Imm
    1.41
    Hope
    1.39
    Fin
    1.30
    High
    1.29
    Wh
    1.29
    Des
    1.28
    Nor
    1.28
    OVER
    1.28
    Credits
    1.27
    Fl
    1.26
    Activations Density 0.257%

    No Known Activations