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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. 1-RES-JB
    11. 7699
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    Explanations

    references to the word "Tar" with different numeric suffixes attached

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Tar" or variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.79
    theless
    -0.75
    rontal
    -0.74
    EY
    -0.72
    âģ
    -0.71
    lihood
    -0.69
    hower
    -0.65
    ĸļ
    -0.62
    ETF
    -0.62
    assetsadobe
    -0.62
    POSITIVE LOGITS
    aji
    1.04
     Sabha
    0.90
    iffs
    0.89
     sands
    0.87
    izoph
    0.85
    usha
    0.83
    Tar
    0.83
     Tar
    0.79
    abus
    0.78
    una
    0.78
    Activations Density 0.005%

    No Known Activations