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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. 2-RES-JB
    11. 18936
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that prompt the reader to seek additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     crawl
    -0.72
     discharge
    -0.66
     crane
    -0.66
     lit
    -0.65
     Crowley
    -0.62
    wark
    -0.62
    alkyrie
    -0.62
    mble
    -0.61
     circulation
    -0.61
    ILY
    -0.60
    POSITIVE LOGITS
    s
    1.23
    sburg
    1.08
    ings
    1.02
    ions
    0.97
    iances
    0.96
     Ago
    0.95
    ers
    0.91
    etts
    0.91
    shaw
    0.89
    atform
    0.87
    Activations Density 0.053%

    No Known Activations