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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. 2-RES-JB
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    terms related to traffic congestion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to traffic and overcrowding issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.90
    arian
    -0.81
    tell
    -0.74
    esan
    -0.71
     Eisen
    -0.68
    pha
    -0.65
    orie
    -0.64
    izations
    -0.64
    ista
    -0.62
    erer
    -0.62
    POSITIVE LOGITS
     congestion
    1.43
     congest
    0.97
     jams
    0.84
     freeway
    0.79
    pots
    0.78
    ulence
    0.75
     queues
    0.74
     latency
    0.74
    byss
    0.73
     queue
    0.72
    Activations Density 0.009%

    No Known Activations