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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. 9-RES-JB
    11. 2675
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    Explanations

    words related to traffic and infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to traffic and road management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -1.05
    nai
    -0.82
    lain
    -0.77
    arity
    -0.74
     Lazarus
    -0.73
    cies
    -0.72
    achu
    -0.71
    tle
    -0.69
    atever
    -0.67
    pring
    -0.66
    POSITIVE LOGITS
     jams
    1.27
     congestion
    1.21
     cones
    0.95
     cone
    0.92
     flow
    0.91
     calming
    0.90
     traffic
    0.90
     jam
    0.89
     controllers
    0.87
     corridors
    0.87
    Activations Density 0.043%

    No Known Activations