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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. 8-RES-JB
    6. 9659
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    INDEX
    Explanations

    information related to specific numerical values and events such as dates, percentages, locations, and names

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    "))
    -0.70
    death
    -0.70
    iverse
    -0.67
    onz
    -0.66
    helm
    -0.64
    "]
    -0.63
    NK
    -0.63
    ]"
    -0.62
    uts
    -0.62
    lass
    -0.61
    POSITIVE LOGITS
     topping
    1.01
     being
    1.01
     preferring
    0.96
     intervening
    0.89
     needing
    0.88
     seeming
    0.88
     reaching
    0.88
     echoing
    0.87
     boasting
    0.87
     appearing
    0.87
    Activations Density 0.412%

    No Known Activations