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    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. 2706
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    Explanations

    punctuation, commas in particular

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and certain special characters

    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
    OND
    -0.68
     Watch
    -0.65
    enta
    -0.60
    EMBER
    -0.56
    racuse
    -0.56
    ãĥ¥
    -0.55
     dreaming
    -0.54
    zn
    -0.53
    HAM
    -0.53
     lucky
    -0.53
    POSITIVE LOGITS
     constitutes
    1.03
     involves
    1.00
     represents
    1.00
     is
    0.99
     consists
    0.97
     resembles
    0.97
     revolves
    0.97
     signifies
    0.96
     derives
    0.95
     arises
    0.94
    Activations Density 0.234%

    No Known Activations