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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. 4-RES-JB
    11. 16265
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to judgment and adjudication

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

    No Comments

    Negative Logits
     Pillar
    -0.73
     Brands
    -0.65
    fields
    -0.64
    è¦ļéĨĴ
    -0.62
    houses
    -0.62
    stock
    -0.61
    fall
    -0.61
    heads
    -0.61
    WORK
    -0.60
    BOOK
    -0.60
    POSITIVE LOGITS
    iciary
    1.41
    jud
    1.33
    gment
    1.32
    gement
    1.15
    icial
    1.12
    gments
    1.10
    iced
    1.02
    eness
    0.94
    olulu
    0.94
    ument
    0.93
    Activations Density 0.019%

    No Known Activations