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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. 10738
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    Explanations

    phrases related to positive evaluations and achievements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to success and achievement

    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
    scrib
    -0.73
     equivalents
    -0.72
    alle
    -0.70
    daq
    -0.70
    raints
    -0.70
    taboola
    -0.68
     PsyNet
    -0.66
     [+
    -0.65
     waivers
    -0.64
     descriptions
    -0.64
    POSITIVE LOGITS
     beloved
    1.11
     venerable
    1.10
     cherished
    1.06
     revered
    1.03
     fledgling
    1.02
     embattled
    1.01
     iconic
    0.93
     misunderstood
    0.93
     nascent
    0.92
     institution
    0.91
    Activations Density 0.689%

    No Known Activations