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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. 5-RES-JB
    6. 10679
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    Explanations

    hyphenated numerical values that seem to relate to some form of quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    negative expressions or contexts, particularly involving duration or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Moody
    -0.74
     cues
    -0.73
     Tuls
    -0.70
     WD
    -0.69
     Ernst
    -0.68
     sights
    -0.68
     infl
    -0.68
     Rhod
    -0.67
     irregularities
    -0.67
     tabs
    -0.66
    POSITIVE LOGITS
    century
    0.98
    ccording
    0.95
    degree
    0.95
    series
    0.93
    sized
    0.92
    year
    0.92
    minute
    0.92
    dozen
    0.92
    orbit
    0.91
    factor
    0.91
    Activations Density 0.032%

    No Known Activations