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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. 6-RES-JB
    11. 7612
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    INDEX
    Explanations

    mentions of the word "Google"

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "googling" or searching online

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imester
    -0.72
     impossibility
    -0.65
     inev
    -0.63
     suppl
    -0.61
     Victory
    -0.60
     victorious
    -0.59
     strike
    -0.59
     percussion
    -0.58
     Penet
    -0.58
    ãĥķãĤ©
    -0.57
    POSITIVE LOGITS
    les
    0.84
    lean
    0.78
    opy
    0.78
    lers
    0.77
    oop
    0.76
    oots
    0.74
    oos
    0.74
    ogle
    0.73
    kered
    0.72
    reet
    0.70
    Activations Density 0.074%

    No Known Activations