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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. 9-RES-JB
    6. 21091
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    INDEX
    Explanations

    elements related to numerical data, particularly financial figures and functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    instances of numbers

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     humankind
    -0.68
     mankind
    -0.66
     Humans
    -0.63
    ankind
    -0.61
     competitions
    -0.60
     humans
    -0.60
     society
    -0.56
    thood
    -0.56
     civilization
    -0.55
     ........
    -0.55
    POSITIVE LOGITS
    etheless
    0.68
     deletion
    0.66
     subp
    0.63
     overlay
    0.59
     placeholder
    0.59
     insertion
    0.59
     Cosponsors
    0.58
    Accessory
    0.57
    patch
    0.56
    xes
    0.56
    Activations Density 1.698%

    No Known Activations