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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15314
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    INDEX
    Explanations

    reports of events or statements made by different individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of physical injury or harm

    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
    nature
    -0.84
     abound
    -0.76
    DragonMagazine
    -0.74
     sorts
    -0.67
     Governments
    -0.66
     trillions
    -0.64
    imil
    -0.64
     EVENTS
    -0.63
    enment
    -0.62
    ptions
    -0.62
    POSITIVE LOGITS
     remarked
    0.91
     singled
    0.82
     commented
    0.77
     overheard
    0.77
     likened
    0.74
     summed
    0.74
    Said
    0.73
     joked
    0.73
     recounted
    0.71
     sarcast
    0.69
    Activations Density 0.324%

    No Known Activations