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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. 10-RES-JB
    6. 267
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    INDEX
    Explanations

    occurrences of the word "Ka" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Ka" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ttes
    -0.78
    tti
    -0.69
    lessly
    -0.67
    tons
    -0.63
    ROR
    -0.60
     ABE
    -0.60
    wcsstore
    -0.58
     Tillerson
    -0.56
    rers
    -0.56
    ently
    -0.56
    POSITIVE LOGITS
    iser
    1.28
    isers
    1.14
    plan
    1.10
    pler
    1.10
    oru
    1.04
    iba
    1.02
    izer
    0.99
    iley
    0.95
    ichi
    0.93
    emia
    0.93
    Activations Density 0.048%

    No Known Activations