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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. 19905
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    Explanations

    scientific experiments and tests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific testing and validation

    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
     Destination
    -0.71
     nods
    -0.68
    resa
    -0.65
    interstitial
    -0.65
     holiest
    -0.61
     emphasis
    -0.61
     announcements
    -0.61
    edo
    -0.60
    _-
    -0.59
     blame
    -0.59
    POSITIVE LOGITS
     commercially
    1.13
     empir
    1.11
     reliably
    1.06
     experiment
    1.04
     using
    1.03
     indoors
    1.03
     manually
    1.02
     scientifically
    1.01
     microsc
    0.96
     successfully
    0.95
    Activations Density 0.352%

    No Known Activations