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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. 8683
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    Explanations

    fractions or ratios

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proportions or ratios

    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
    irez
    -0.61
    andals
    -0.60
    Offline
    -0.59
    ymm
    -0.59
    idel
    -0.56
    isl
    -0.55
    ourgeois
    -0.54
    voice
    -0.54
    hai
    -0.54
    },"
    -0.54
    POSITIVE LOGITS
     every
    0.90
     ten
    0.79
     100
    0.77
     tens
    0.74
     equals
    0.70
     bounds
    0.69
     10
    0.69
     365
    0.68
     435
    0.68
     189
    0.67
    Activations Density 0.032%

    No Known Activations