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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. 15255
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    INDEX
    Explanations

    mathematical expressions and formulas

    oai_token-act-pair · gpt-3.5-turbo

    mathematical functions and statistical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ettings
    -0.84
     chats
    -0.74
    ::::::::
    -0.71
    EVA
    -0.70
     menus
    -0.70
     nods
    -0.69
    aug
    -0.66
     lobb
    -0.66
    Attach
    -0.66
     safeguards
    -0.66
    POSITIVE LOGITS
     theorem
    1.09
     coefficient
    1.05
    orem
    1.02
    frac
    1.02
     âĪ
    1.01
     ÎĶ
    1.00
     inverse
    0.97
     ÏĦ
    0.96
     computed
    0.96
     coefficients
    0.94
    Activations Density 0.434%

    No Known Activations