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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. 4-RES-JB
    6. 17191
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    Explanations

    technical terms related to reliability

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reliability and usability in various contexts

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

    No Comments

    Negative Logits
    entious
    -0.78
    sonian
    -0.78
    kson
    -0.75
    inis
    -0.73
     Rove
    -0.72
     Anon
    -0.71
    lander
    -0.69
    lements
    -0.69
    icles
    -0.69
    inas
    -0.67
    POSITIVE LOGITS
     mismatch
    1.07
     assurance
    0.96
     parity
    0.95
     readiness
    0.93
    ability
    0.91
     proble
    0.88
    anship
    0.88
     stability
    0.87
     ratings
    0.86
    atility
    0.86
    Activations Density 0.060%

    No Known Activations