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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 3982
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    INDEX
    Explanations

    instances where installations or installations of various items are mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "installed" and its variations, indicating actions related to setting up or putting in place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sem
    -0.80
    sweet
    -0.71
    erred
    -0.69
    furt
    -0.69
    west
    -0.67
    houn
    -0.66
    fax
    -0.65
     Leth
    -0.65
    emic
    -0.64
    wer
    -0.63
    POSITIVE LOGITS
     installed
    0.88
     installations
    0.86
     installs
    0.85
     installation
    0.84
     install
    0.80
     installing
    0.79
     arrang
    0.76
     fixtures
    0.71
     ply
    0.71
     conduc
    0.70
    Activations Density 0.017%

    No Known Activations