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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. 7-RES-JB
    11. 11245
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    Explanations

    specific mentions of geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations or spatial data

    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
    vous
    -0.92
    jin
    -0.87
    missions
    -0.83
    tails
    -0.80
    xtap
    -0.79
    ework
    -0.77
    unes
    -0.74
    haw
    -0.73
    rahim
    -0.73
    icer
    -0.72
    POSITIVE LOGITS
     locations
    1.02
     location
    1.02
    URA
    0.80
     locality
    0.80
     locate
    0.79
     landmarks
    0.77
     Location
    0.69
     where
    0.69
     scout
    0.67
     vicinity
    0.67
    Activations Density 0.056%

    No Known Activations