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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. 1-RES-JB
    11. 22718
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    Explanations

    words related to congestion and traffic issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to traffic and movement issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.75
    tell
    -0.72
    esan
    -0.70
    ilts
    -0.70
    ta
    -0.70
    arian
    -0.69
    thing
    -0.67
    nee
    -0.65
    orie
    -0.64
    pha
    -0.64
    POSITIVE LOGITS
     congestion
    1.56
     congest
    1.04
     jams
    0.91
     freeway
    0.87
     destro
    0.82
     exting
    0.80
     bottleneck
    0.76
     latency
    0.75
    wagon
    0.74
     lanes
    0.73
    Activations Density 0.009%

    No Known Activations