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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. 17138
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    Explanations

    numbers and technical text elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ultimate goals and aspirations

    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
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    Negative Logits
     cowork
    -0.61
    utterstock
    -0.59
     roomm
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    omach
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     greeting
    -0.52
     retweet
    -0.51
     classmate
    -0.51
    ulia
    -0.51
    girlfriend
    -0.48
     Shutterstock
    -0.48
    POSITIVE LOGITS
    '."
    0.77
    ;;;;;;;;;;;;
    0.76
    ''.
    0.74
    !".
    0.71
    .''.
    0.65
     =================================================================
    0.65
    etheless
    0.65
     Azerb
    0.61
    `.
    0.60
     exha
    0.60
    Activations Density 2.158%

    No Known Activations