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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. 6259
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    Explanations

    phrases containing quotations of statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    statements made by individuals in a formal context

    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
    PIN
    -0.63
    Exper
    -0.63
    Begin
    -0.63
    ãĥ¼ãĥ
    -0.61
    Eva
    -0.61
    aceae
    -0.60
    PF
    -0.57
     nig
    -0.57
    Tank
    -0.57
    DATA
    -0.56
    POSITIVE LOGITS
     Tuesday
    0.88
     Wednesday
    0.86
     Thursday
    0.84
    terday
    0.83
     Monday
    0.83
     yesterday
    0.80
     Friday
    0.78
     Sunday
    0.75
     sarcast
    0.73
     TODAY
    0.73
    Activations Density 0.331%

    No Known Activations