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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 6695
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to systems and their performance metrics

    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
    oths
    -0.76
    rez
    -0.71
    Ò
    -0.70
     Bust
    -0.69
     Shea
    -0.67
     Bett
    -0.65
    poons
    -0.65
     Oliv
    -0.65
     Sell
    -0.64
     Fifth
    -0.64
    POSITIVE LOGITS
    ctl
    1.15
     emulation
    1.02
    kernel
    1.02
     privileges
    1.00
    Memory
    1.00
     permissions
    0.96
    Configuration
    0.96
    linux
    0.94
     initialization
    0.94
     privilege
    0.93
    Activations Density 0.127%

    No Known Activations