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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. 13586
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    INDEX
    Explanations

    phrases encouraging unity, strength, and perseverance

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence endings

    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
     nodd
    -0.79
     tack
    -0.77
     headache
    -0.76
     suspected
    -0.75
     hypothesized
    -0.73
    assic
    -0.73
     inference
    -0.72
     previously
    -0.72
     reasonably
    -0.70
     triv
    -0.70
    POSITIVE LOGITS
     Together
    1.33
     And
    1.32
     That
    1.29
     Through
    1.28
     Whether
    1.28
     Thank
    1.27
     Sadly
    1.24
     Without
    1.23
     Because
    1.21
     Therefore
    1.21
    Activations Density 0.400%

    No Known Activations