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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. 9421
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    INDEX
    Explanations

    comparative adjectives indicating size or scale

    oai_token-act-pair · gpt-3.5-turbo

    the word "bigger" in various contexts

    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
    shire
    -0.90
    endant
    -0.70
    endants
    -0.70
    onso
    -0.69
    pta
    -0.69
     Michaels
    -0.67
    ices
    -0.67
    chron
    -0.67
    ION
    -0.66
    syn
    -0.66
    POSITIVE LOGITS
     than
    0.99
     Than
    0.90
    picture
    0.90
    oted
    0.85
    than
    0.85
     eleph
    0.83
     bang
    0.82
     scale
    0.81
     stature
    0.80
     picture
    0.80
    Activations Density 0.015%

    No Known Activations