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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. 1-RES-JB
    6. 8155
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    Explanations

    measurements and numerical values expressed in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    numerical measurements and values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nels
    -0.89
    querque
    -0.79
    inance
    -0.75
    agents
    -0.73
    ribly
    -0.72
    tarians
    -0.69
    matter
    -0.69
    erville
    -0.68
    essee
    -0.67
    nel
    -0.67
    POSITIVE LOGITS
     960
    0.98
    750
    0.96
    SourceFile
    0.92
    800
    0.91
     950
    0.89
    æ©Ł
    0.89
    700
    0.84
    900
    0.84
    600
    0.84
     ILCS
    0.83
    Activations Density 0.025%

    No Known Activations