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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. 2-RES-JB
    6. 8329
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    Explanations

    numerical values related to achievements or milestones

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bite
    -0.76
    adin
    -0.72
    tein
    -0.70
    hammad
    -0.66
     millenn
    -0.65
    hin
    -0.65
    atern
    -0.64
    apa
    -0.63
    iflower
    -0.62
     adhere
    -0.61
    POSITIVE LOGITS
     record
    1.10
     Record
    0.95
    record
    0.94
     records
    0.85
     recorder
    0.84
     breaker
    0.81
     Holder
    0.79
     holder
    0.77
    recorded
    0.73
    inances
    0.73
    Activations Density 0.024%

    No Known Activations