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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. 16792
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    Explanations

    phrases related to the extraction, processing, and controversy surrounding tar or tar sands

    oai_token-act-pair · gpt-3.5-turbo

    references to "tar."

    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
    etts
    -0.79
    assetsadobe
    -0.78
    Interstitial
    -0.78
    rontal
    -0.75
    iasco
    -0.75
    ĨĴ
    -0.74
    sense
    -0.73
    Owner
    -0.73
    shire
    -0.71
    hetti
    -0.70
    POSITIVE LOGITS
     sands
    1.18
     tar
    1.15
    anium
    0.82
    ãĥ£
    0.80
    geon
    0.78
    ried
    0.76
    ril
    0.75
     puff
    0.74
    balls
    0.73
    iffs
    0.72
    Activations Density 0.003%

    No Known Activations