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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. 14215
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    INDEX
    Explanations

    expressive and emotional phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to structure and formatting in written content

    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
    thood
    -0.64
     earthquakes
    -0.52
     bedrooms
    -0.52
     Leilan
    -0.51
     lifestyles
    -0.51
     movies
    -0.49
     partying
    -0.49
     UFOs
    -0.49
     paradise
    -0.48
     delinquent
    -0.48
    POSITIVE LOGITS
    urther
    0.57
    notice
    0.56
    irmation
    0.56
    ipal
    0.55
    oche
    0.54
    osite
    0.54
    aun
    0.52
    etheless
    0.52
    Param
    0.50
    cept
    0.49
    Activations Density 1.553%

    No Known Activations