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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. 7645
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    Explanations

    interesting mix of proper nouns and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and specific names in structured data contexts

    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
    .,
    -0.95
    ,[
    -0.93
    .?
    -0.86
    .—
    -0.86
    ;
    -0.85
    ,—
    -0.84
    .--
    -0.84
    ,''
    -0.83
    .;
    -0.83
    ãĢĤ
    -0.82
    POSITIVE LOGITS
     sized
    0.39
    sea
    0.38
     Robo
    0.37
     lett
    0.37
    izens
    0.37
     Beir
    0.37
     emphasis
    0.37
     Fernandez
    0.37
    tnc
    0.36
     pleading
    0.36
    Activations Density 1.840%

    No Known Activations