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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. 0-RES-JB
    6. 8956
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    Explanations

    references to specific car models

    oai_token-act-pair · gpt-3.5-turbo

    references to specific car models, particularly from Tesla

    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
    gob
    -0.72
     Barton
    -0.70
    uca
    -0.68
     gore
    -0.64
     overfl
    -0.64
     Greenwald
    -0.64
     prejudice
    -0.63
    english
    -0.63
     Bulgar
    -0.62
     foreigners
    -0.62
    POSITIVE LOGITS
     Model
    3.89
    Model
    2.83
     Models
    2.56
    model
    2.34
     model
    2.29
     models
    2.01
    models
    1.84
     modeling
    1.74
     modelling
    1.60
     modeled
    1.51
    Activations Density 0.014%

    No Known Activations