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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. 1-RES-JB
    11. 12927
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    Explanations

    phrases related to efficiency and improvement

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to efficiency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dream
    -0.92
    Bone
    -0.78
    enegger
    -0.71
    href
    -0.71
    along
    -0.70
     sincerely
    -0.68
    bold
    -0.68
    hair
    -0.68
    kar
    -0.67
    VR
    -0.67
    POSITIVE LOGITS
     efficient
    1.19
     efficiency
    1.10
     inefficient
    1.04
     allocation
    0.92
    idious
    0.88
     effic
    0.88
    iencies
    0.87
     utilization
    0.85
     optimization
    0.83
     eater
    0.80
    Activations Density 0.011%

    No Known Activations