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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. 9031
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    INDEX
    Explanations

    names or references to individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly prominent figures and their connections

    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
    ista
    -0.75
     oats
    -0.72
    emonium
    -0.71
    istas
    -0.71
    Leaks
    -0.69
    CTV
    -0.69
    notations
    -0.68
    ing
    -0.67
    ingo
    -0.66
    llular
    -0.62
    POSITIVE LOGITS
    bard
    0.83
    rosis
    0.82
    etr
    0.80
    chel
    0.78
    iat
    0.77
     proble
    0.76
    rich
    0.75
    itability
    0.71
    rod
    0.70
    nil
    0.69
    Activations Density 0.052%

    No Known Activations