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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. 12384
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    INDEX
    Explanations

    proper nouns, specifically title case words

    oai_token-act-pair · gpt-3.5-turbo

    the word "The" as a key indicator within 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
    alone
    -0.72
     beforehand
    -0.71
    /"
    -0.68
     himself
    -0.67
     themselves
    -0.67
     theirs
    -0.66
     afterwards
    -0.64
    \<
    -0.64
    gpu
    -0.64
     with
    -0.62
    POSITIVE LOGITS
    resa
    1.39
    oret
    1.28
    odore
    1.23
    ories
    1.10
    atre
    1.06
     Latest
    0.98
     latest
    0.96
     simplest
    0.95
     Basics
    0.95
    orem
    0.94
    Activations Density 0.315%

    No Known Activations