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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. 4784
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    INDEX
    Explanations

    words related to correction or improvement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to correction and adjustments

    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
    ARK
    -0.70
    اÙĦ
    -0.68
     Resistance
    -0.66
    è¦ļéĨĴ
    -0.64
    UGH
    -0.62
     Prosper
    -0.60
    ÙIJ
    -0.59
     resisting
    -0.58
    PLIED
    -0.58
    âĸ¬âĸ¬
    -0.58
    POSITIVE LOGITS
    angles
    1.07
    angular
    1.07
    uitous
    1.00
    itude
    0.98
    ifiable
    0.96
    rect
    0.91
     rect
    0.90
    racted
    0.87
    anus
    0.86
    ions
    0.86
    Activations Density 0.038%

    No Known Activations