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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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    Explanations

    keywords related to vehicles, specifically SUVs and sedans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of SUV and sedan vehicles

    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
    ode
    -0.79
    itives
    -0.74
    graph
    -0.68
    effects
    -0.68
    vernment
    -0.68
    inst
    -0.67
    ãĤ±
    -0.67
    bread
    -0.66
    odes
    -0.64
    bett
    -0.62
    POSITIVE LOGITS
     sedan
    1.09
     SUV
    1.02
    iage
    0.79
     dealership
    0.78
    illac
    0.77
     caravan
    0.73
     buggy
    0.70
     vans
    0.69
    cases
    0.69
     van
    0.68
    Activations Density 0.019%

    No Known Activations