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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. 6-RES-JB
    11. 18665
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    Explanations

    references to physical clothing items, specifically belts and belt buckles

    oai_token-act-pair · gpt-3.5-turbo

    references to belts and buckles

    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
    ulton
    -0.80
    stros
    -0.74
    iency
    -0.70
    gdala
    -0.70
    DEM
    -0.69
    */(
    -0.69
    sburg
    -0.67
    berus
    -0.66
    ijuana
    -0.66
    itives
    -0.66
    POSITIVE LOGITS
     buckle
    1.47
     belt
    1.01
     straps
    0.97
     belts
    0.95
    loader
    0.94
    belt
    0.92
     holster
    0.90
     strap
    0.88
    worms
    0.87
     tightening
    0.85
    Activations Density 0.020%

    No Known Activations