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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. 9-RES-JB
    6. 11637
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    Explanations

    actions or processes described in the form of "to [verb]"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to understanding and making things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.62
    keyes
    -0.56
    selling
    -0.56
    wed
    -0.56
    tch
    -0.56
     Travels
    -0.55
    uploads
    -0.55
    Apr
    -0.55
    judicial
    -0.55
     Dresden
    -0.55
    POSITIVE LOGITS
    uate
    0.78
     properly
    0.75
     truly
    0.71
     this
    0.70
     further
    0.70
     your
    0.69
    irtual
    0.65
    ISE
    0.64
     fullest
    0.64
    eeper
    0.63
    Activations Density 0.119%

    No Known Activations