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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. 7734
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    Explanations

    words related to traffic and congestion

    oai_token-act-pair · gpt-3.5-turbo

    references to traffic and congestion

    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
    lain
    -0.79
    ouf
    -0.75
    pter
    -0.73
    pring
    -0.73
    ingers
    -0.72
    aker
    -0.72
    aver
    -0.71
    olon
    -0.71
    oire
    -0.68
     Rubin
    -0.66
    POSITIVE LOGITS
     traffic
    3.86
     Traffic
    2.80
     congestion
    1.75
    ffic
    1.65
     veh
    1.60
     motorists
    1.49
     pedestrians
    1.31
     commuters
    1.26
     speeding
    1.26
     pedestrian
    1.25
    Activations Density 0.028%

    No Known Activations