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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. 6-RES-JB
    6. 21691
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    INDEX
    Explanations

    phrases indicating movement or direction towards a specific location or goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or movement towards a destination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Used
    -0.72
     [*
    -0.70
    lied
    -0.69
    tons
    -0.68
    nces
    -0.67
    ulous
    -0.65
    lap
    -0.65
    unte
    -0.65
    rate
    -0.64
    cu
    -0.64
    POSITIVE LOGITS
     town
    0.80
     retirement
    0.78
     Charlottesville
    0.76
     Sochi
    0.73
     Showdown
    0.72
     Babel
    0.70
     Skydragon
    0.70
     sunset
    0.70
     Asheville
    0.69
     Rogue
    0.67
    Activations Density 0.051%

    No Known Activations