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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. 5-RES-JB
    6. 16589
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating existence or presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ank
    -0.79
    imar
    -0.71
    isman
    -0.68
     exceeds
    -0.68
    author
    -0.66
    wake
    -0.65
     belie
    -0.65
     hadn
    -0.65
     avoids
    -0.64
    Author
    -0.64
    POSITIVE LOGITS
    GROUND
    0.72
    ãĥ¼ãĥ³
    0.69
     Remy
    0.68
    ãĤĮ
    0.65
    tnc
    0.65
    FTWARE
    0.64
     Sanct
    0.64
     gaping
    0.64
     ominous
    0.62
     beaut
    0.61
    Activations Density 0.423%

    No Known Activations