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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. 8312
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    INDEX
    Explanations

    instances of the number "one" being emphasized or contrasted with something else

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of pairs or groups of two

    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
    sed
    -0.66
     Shutterstock
    -0.63
    uel
    -0.62
    odor
    -0.62
    proc
    -0.60
    å½
    -0.59
    æ³
    -0.59
    services
    -0.57
    ury
    -0.57
    phies
    -0.57
    POSITIVE LOGITS
     halves
    0.94
    ngth
    0.71
    auga
    0.70
     accuser
    0.68
     iteration
    0.66
     side
    0.64
     apiece
    0.60
     accus
    0.59
    here
    0.59
    yden
    0.59
    Activations Density 0.086%

    No Known Activations