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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. 23626
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    Explanations

    phrases related to physical characteristics and features, such as grip, prevent falling, ensure, increase, and convenient placement

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to support and stability in objects or concepts

    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
    ãĥ¯ãĥ³
    -0.71
     Wer
    -0.64
     Liver
    -0.64
     Passion
    -0.64
    ONE
    -0.64
    Hunt
    -0.62
    geist
    -0.62
    Originally
    -0.62
    Cash
    -0.61
     Tuls
    -0.61
    POSITIVE LOGITS
     maximize
    1.15
     minimize
    1.08
     accommodate
    1.02
     avoid
    1.01
    avoid
    0.96
     maximizing
    0.96
     facilitate
    0.92
     assure
    0.91
     insure
    0.91
     withstand
    0.91
    Activations Density 0.735%

    No Known Activations