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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. 11-RES-JB
    6. 21353
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    Explanations

    phrases related to technology and communication

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their relevance in the context of the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Indy
    -0.84
    Hamilton
    -0.80
     intrins
    -0.80
    Font
    -0.79
    SIM
    -0.76
    atform
    -0.76
     Hamilton
    -0.76
    rael
    -0.75
     IC
    -0.74
     Osh
    -0.74
    POSITIVE LOGITS
     Cain
    1.24
     Pierce
    1.17
     Duke
    1.13
     Welch
    1.01
    Pool
    1.01
     Peck
    0.98
     Pool
    0.97
     Maw
    0.94
     Lamar
    0.94
     Razor
    0.93
    Activations Density 0.524%

    No Known Activations