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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. 11-RES-JB
    6. 7219
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ittees
    -0.72
    pees
    -0.69
    displayText
    -0.69
    vous
    -0.68
    oise
    -0.68
    ILA
    -0.66
    incial
    -0.66
    ĪĴ
    -0.65
    ãĥ¯ãĥ³
    -0.64
    ÑĤ
    -0.64
    POSITIVE LOGITS
     "[
    1.65
     "â̦
    1.55
     "...
    1.38
     "'
    1.26
     '[
    1.18
    :"
    1.12
     "(
    1.10
     "
    0.97
    :[
    0.96
     ""
    0.94
    Activations Density 0.273%

    No Known Activations