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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. 10591
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    Explanations

    locations or headquarters of organizations or companies

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate location or origin of entities

    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
     hurled
    -0.78
    umatic
    -0.75
    fters
    -0.74
     wielded
    -0.73
     accustomed
    -0.72
     tempted
    -0.70
    vous
    -0.69
    fter
    -0.69
    xual
    -0.69
     consumed
    -0.69
    POSITIVE LOGITS
     northeast
    0.99
     conjunction
    0.99
     northwest
    0.98
     northeastern
    0.97
     Southeast
    0.96
     Vienna
    0.94
     northwestern
    0.93
     Bangalore
    0.92
     Alexandria
    0.92
     southwestern
    0.91
    Activations Density 0.118%

    No Known Activations