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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. 3105
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    Explanations

    specific mentions of car makes and models

    oai_token-act-pair · gpt-3.5-turbo

    specific makes and models of vehicles

    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
     Flavoring
    -0.85
    meric
    -0.77
    liness
    -0.73
    sites
    -0.72
     pores
    -0.72
    asm
    -0.72
    utenberg
    -0.70
    glers
    -0.70
    astical
    -0.70
    text
    -0.70
    POSITIVE LOGITS
     chassis
    1.14
     convertible
    1.13
     sedan
    1.12
     dealership
    1.08
     SUV
    1.01
     pickup
    0.97
     Cruiser
    0.90
     motorcycle
    0.88
     motor
    0.88
     racer
    0.87
    Activations Density 0.211%

    No Known Activations