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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. 4256
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    Explanations

    phrases related to inviting or welcoming someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to invitations and welcoming interactions

    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
     correlate
    -0.67
    tein
    -0.64
     gears
    -0.62
     transcript
    -0.62
     organs
    -0.61
     indexes
    -0.61
     scales
    -0.60
     elapsed
    -0.58
     cass
    -0.58
     consumed
    -0.57
    POSITIVE LOGITS
    riott
    0.89
    soType
    0.78
     audiences
    0.74
     dign
    0.71
     parties
    0.71
    SpaceEngineers
    0.69
     explorers
    0.68
    ington
    0.68
    prises
    0.68
    izons
    0.68
    Activations Density 0.152%

    No Known Activations