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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 16940
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    Explanations

    keywords related to vehicle modifications, particularly exhaust systems

    oai_token-act-pair · gpt-3.5-turbo

    components related to automotive engineering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    achu
    -0.86
    ongo
    -0.86
    natureconservancy
    -0.82
    hemer
    -0.78
    nesday
    -0.78
    ciating
    -0.77
    MpServer
    -0.76
     largeDownload
    -0.76
    cffffcc
    -0.76
    Daily
    -0.75
    POSITIVE LOGITS
     rails
    1.13
     connectors
    1.10
     compartment
    1.09
     wheel
    1.06
     cylinder
    1.04
     connector
    1.04
     hood
    1.04
     valves
    1.03
     radiator
    1.02
     vents
    1.01
    Activations Density 0.170%

    No Known Activations