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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. 6-RES-JB
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    Explanations

    mentions of electric vehicles

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "electric" in the context of vehicles and energy sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.82
    allery
    -0.79
    xus
    -0.72
    00200000
    -0.70
     Haku
    -0.70
    yip
    -0.68
    aird
    -0.68
    lust
    -0.65
    ebin
    -0.64
     Lumpur
    -0.64
    POSITIVE LOGITS
     propulsion
    0.86
     Powered
    0.83
     grids
    0.83
     motors
    0.80
     currents
    0.78
     fences
    0.75
     powered
    0.74
     appliances
    0.72
     locom
    0.71
    ité
    0.71
    Activations Density 0.017%

    No Known Activations