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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. 7-RES-JB
    11. 2934
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    INDEX
    Explanations

    the word "random" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    instances and mentions of randomness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ports
    -0.84
    ModLoader
    -0.83
    gur
    -0.83
    dain
    -0.72
    arte
    -0.70
    artney
    -0.70
    wark
    -0.69
    framework
    -0.69
    toc
    -0.69
    ossier
    -0.68
    POSITIVE LOGITS
     assortment
    1.07
    izer
    1.00
    ised
    0.98
    istically
    0.94
    izable
    0.92
    ization
    0.90
    izers
    0.89
    izing
    0.86
    isable
    0.85
    iz
    0.84
    Activations Density 0.034%

    No Known Activations