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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. 5-RES-JB
    6. 23235
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    INDEX
    Explanations

    references to justifications or reasons, typically framed as "grounds."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to legal or justifiable reasons

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sins
    -0.71
     Lomb
    -0.70
    apt
    -0.69
     paycheck
    -0.66
     centralized
    -0.65
    thal
    -0.65
    oser
    -0.63
     Abyssal
    -0.63
    omez
    -0.62
     Twins
    -0.61
    POSITIVE LOGITS
     grounds
    1.22
    keepers
    1.10
    keeper
    1.03
    ground
    0.88
    keeping
    0.88
    grounds
    0.87
    GROUND
    0.81
    ãĤ³
    0.80
     Grounds
    0.79
    æĦ
    0.74
    Activations Density 0.015%

    No Known Activations