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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. 7-RES-JB
    11. 9312
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    Explanations

    information related to driving tasks and functions, specifically related to technology and operations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to automotive functions and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     capit
    -0.78
     underest
    -0.71
     Jury
    -0.70
     Witch
    -0.69
     CVE
    -0.68
     repr
    -0.66
     misguided
    -0.64
     Curse
    -0.63
     methodological
    -0.63
     cursed
    -0.62
    POSITIVE LOGITS
     functions
    1.12
     tasks
    1.09
     chores
    0.93
     Functions
    0.84
     efficiently
    0.81
     electronics
    0.79
     commands
    0.78
     duties
    0.78
     multit
    0.78
     uninterrupted
    0.75
    Activations Density 1.006%

    No Known Activations