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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
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    Explanations

    mentions of "Monterey" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mention of "Monterey" and terms related to measurements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    verse
    -0.88
    ¶
    -0.74
    istani
    -0.74
    kell
    -0.73
    wal
    -0.69
    TW
    -0.69
    uls
    -0.68
    bern
    -0.68
    ouver
    -0.67
    adj
    -0.66
    POSITIVE LOGITS
    erey
    0.91
    ETHOD
    0.84
    asures
    0.69
    mond
    0.69
    WARE
    0.67
    theless
    0.67
    elta
    0.67
     Nept
    0.67
     shrimp
    0.65
     clips
    0.65
    Activations Density 0.031%

    No Known Activations