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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. 3-RES-JB
    11. 22657
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    INDEX
    Explanations

    numerical percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to concentration or density

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.85
     ABE
    -0.77
    isSpecialOrderable
    -0.75
    BILITY
    -0.71
    HCR
    -0.70
    channelAvailability
    -0.70
    è¦ļéĨĴ
    -0.69
    éĹĺ
    -0.69
    okia
    -0.69
    acca
    -0.67
    POSITIVE LOGITS
    enary
    0.97
    imet
    0.95
    imeter
    0.94
    ennial
    0.93
    een
    0.91
    imeters
    0.87
    uries
    0.87
    rils
    0.82
    rates
    0.78
    rate
    0.77
    Activations Density 0.006%

    No Known Activations