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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. 2351
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    INDEX
    Explanations

    prepositions 'in' and 'around'

    oai_token-act-pair · gpt-3.5-turbo

    the repetitive use of the word "and" to denote connections or relationships in the text

    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
    puting
    -0.65
     DRAGON
    -0.64
    RPG
    -0.63
     Doodle
    -0.62
     Nerd
    -0.61
     Dynam
    -0.61
    Times
    -0.58
    Nin
    -0.58
     Primordial
    -0.58
    SPA
    -0.57
    POSITIVE LOGITS
    rogen
    1.23
    rogens
    1.15
    romeda
    0.86
    nery
    0.81
    rew
    0.80
     oh
    0.68
     annexed
    0.67
    alus
    0.66
    chard
    0.66
    rology
    0.64
    Activations Density 0.121%

    No Known Activations