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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. 4563
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    INDEX
    Explanations

    words related to heightened states or intensification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to heightened states of awareness or concern

    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
    phis
    -0.96
    ica
    -0.83
    icate
    -0.77
    phia
    -0.76
    ocide
    -0.74
    strate
    -0.73
    usive
    -0.72
    icates
    -0.69
    gered
    -0.68
    ļéĨĴ
    -0.68
    POSITIVE LOGITS
    renheit
    0.80
    voy
    0.78
    rons
    0.77
    mare
    0.74
    chio
    0.73
     RIS
    0.68
    robe
    0.68
    enegger
    0.68
     enthusi
    0.66
    rals
    0.66
    Activations Density 0.047%

    No Known Activations