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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 12536
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    Explanations

    specific names of or references to different physical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pity
    -0.65
    icum
    -0.65
    IGHT
    -0.65
    frey
    -0.65
    vation
    -0.64
    ithering
    -0.63
    ernaut
    -0.63
     unworthy
    -0.62
    ----
    -0.62
    mit
    -0.62
    POSITIVE LOGITS
     locations
    3.66
     Locations
    2.70
     location
    2.42
     destinations
    1.99
     places
    1.90
    location
    1.81
     sites
    1.77
     venues
    1.72
    Location
    1.65
     spots
    1.62
    Activations Density 0.012%

    No Known Activations