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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. 4-RES-JB
    11. 4349
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    Explanations

    keywords related to transportation and roads

    oai_token-act-pair · gpt-3.5-turbo

    references to traffic and its management

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

    No Comments

    Negative Logits
    sonian
    -1.15
    nai
    -0.89
    arine
    -0.83
    tle
    -0.81
    lain
    -0.78
    atever
    -0.72
     Lazarus
    -0.72
    arian
    -0.71
    zbek
    -0.71
    utical
    -0.70
    POSITIVE LOGITS
     congestion
    1.25
     traffic
    1.13
     jams
    1.11
     Traffic
    0.97
     lanes
    0.86
    lane
    0.86
     accidents
    0.84
     obstruction
    0.84
     lane
    0.82
    ffic
    0.82
    Activations Density 0.013%

    No Known Activations