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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. 1-RES-JB
    11. 11502
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    Explanations

    commonly used words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    the word "commonly" and its various usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÄŁ
    -0.75
     Fury
    -0.69
     Krishna
    -0.69
    gur
    -0.68
    stanbul
    -0.68
    onics
    -0.68
     Ole
    -0.66
     Dalai
    -0.65
     Rwanda
    -0.63
     Plate
    -0.62
    POSITIVE LOGITS
     commonly
    0.98
    entimes
    0.97
    ãĤ¼ãĤ¦ãĤ¹
    0.92
     known
    0.90
     abbrevi
    0.81
    wealth
    0.81
     compr
    0.81
    pmwiki
    0.81
     encount
    0.80
    Buyable
    0.79
    Activations Density 0.005%

    No Known Activations