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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. 9664
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    Explanations

    mentions or instances of a promise or a commitment, often in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    words related to commitments or promises

    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
    nesota
    -0.78
    ROR
    -0.72
    Ther
    -0.70
    occ
    -0.70
    \/\/
    -0.67
     Riding
    -0.65
    NetMessage
    -0.63
    othy
    -0.62
    ondo
    -0.61
    Else
    -0.60
    POSITIVE LOGITS
     allegiance
    1.17
     pledges
    1.06
     pledge
    0.99
     pledging
    0.89
     pledged
    0.78
     encour
    0.77
     commitments
    0.75
     commitment
    0.74
     loyalty
    0.72
    urances
    0.71
    Activations Density 0.015%

    No Known Activations