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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8401
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    Explanations

    references to the name "Kos" and variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Kos" and its variations or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.85
    osterone
    -0.85
    ãĥ¼ãĥĨãĤ£
    -0.72
     Warrant
    -0.70
    è¦ļéĨĴ
    -0.68
    skirts
    -0.66
     Oaks
    -0.66
     Highlander
    -0.66
     Thumbnails
    -0.65
    hower
    -0.64
    POSITIVE LOGITS
    cius
    1.10
    idon
    1.10
    ket
    1.02
    kie
    1.00
    lyak
    1.00
    lov
    0.99
    mos
    0.97
    ovan
    0.96
    utz
    0.94
    inski
    0.94
    Activations Density 0.018%

    No Known Activations