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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. 2073
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    Explanations

    keywords related to programming and coding, specifically focusing on creating new instances or objects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "new"

    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
    IQ
    -0.73
    SPONSORED
    -0.73
    illance
    -0.72
    Ãĥ
    -0.69
    itta
    -0.67
    OPA
    -0.67
    ++++++++
    -0.64
    xual
    -0.64
    Reloaded
    -0.63
    istine
    -0.63
    POSITIVE LOGITS
    bie
    1.52
    bies
    1.41
    foundland
    1.14
     arrivals
    0.96
     ones
    0.90
     Zealand
    0.89
    born
    0.84
     Testament
    0.84
    tons
    0.83
    York
    0.81
    Activations Density 0.078%

    No Known Activations