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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. 4377
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    Explanations

    verbs related to activities or judgments

    oai_token-act-pair · gpt-3.5-turbo

    words related to perception and understanding

    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
    hement
    -0.77
    hero
    -0.61
    avis
    -0.60
    andy
    -0.59
    toe
    -0.57
    arm
    -0.57
    esy
    -0.57
    ikers
    -0.56
    rene
    -0.55
    istration
    -0.55
    POSITIVE LOGITS
     happening
    0.93
     happen
    0.85
     ABOUT
    0.84
     about
    0.82
     happens
    0.75
     happened
    0.72
     transpired
    0.72
     Means
    0.71
     Happ
    0.70
     next
    0.69
    Activations Density 0.196%

    No Known Activations