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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. 7-RES-JB
    6. 4174
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    INDEX
    Explanations

    phrases related to meeting expectations or commitments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fulfilling expectations or commitments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trolling
    -0.67
     headquartered
    -0.60
     Bron
    -0.60
    asking
    -0.58
     elabor
    -0.58
    SEE
    -0.58
     Scan
    -0.58
    mo
    -0.57
     Ethernet
    -0.56
     infiltr
    -0.56
    POSITIVE LOGITS
     expectations
    1.10
     commitments
    0.98
     equilibrium
    0.94
     obligations
    0.92
     milestones
    0.91
     goals
    0.90
     norms
    0.90
     optimum
    0.88
     norm
    0.88
    ilibrium
    0.87
    Activations Density 0.705%

    No Known Activations