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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
    11. 24388
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    Explanations

    phrases related to things that involve a drive or driving, such as drive-through facilities, driving a company, driving a final nail, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to drive-through establishments or concepts

    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
    Ö¼
    -0.84
    leck
    -0.80
    ulty
    -0.78
    ept
    -0.78
    nces
    -0.78
    ource
    -0.76
    FORE
    -0.75
    iatus
    -0.75
    mint
    -0.74
    uthor
    -0.72
    POSITIVE LOGITS
     wedge
    1.25
     simulator
    0.73
     carts
    0.70
     miles
    0.70
     insane
    0.69
     Ellison
    0.69
     execution
    0.68
     pickup
    0.65
     away
    0.65
     ambulance
    0.64
    Activations Density 0.121%

    No Known Activations