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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. 19099
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    Explanations

    phrases related to features, characteristics, or aspects of something

    oai_token-act-pair · gpt-3.5-turbo

    affirmative statements about the existence or presence of certain features or items

    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
    erva
    -0.75
    erity
    -0.70
     Hast
    -0.68
    culosis
    -0.68
    heid
    -0.67
    cence
    -0.65
    ision
    -0.64
    Ł
    -0.63
    iliation
    -0.62
    formation
    -0.62
    POSITIVE LOGITS
     pertinent
    1.24
     relevant
    1.22
     important
    1.16
     noteworthy
    1.14
     interesting
    1.11
     overlooked
    1.08
     salient
    1.07
     helpful
    1.04
     staples
    1.03
     worthwhile
    1.03
    Activations Density 0.214%

    No Known Activations