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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. 5935
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    Explanations

    numbers formatted as dates and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data points or statistics

    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
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    No Comments

    Negative Logits
     contag
    -0.66
     immortality
    -0.66
    ierrez
    -0.65
     counterterrorism
    -0.65
     NAACP
    -0.64
    atchewan
    -0.63
     resurg
    -0.61
    anooga
    -0.61
    earance
    -0.60
     undercover
    -0.60
    POSITIVE LOGITS
    00
    1.21
    50
    1.18
    70
    1.13
    80
    1.10
    650
    1.09
    751
    1.09
    00000
    1.08
    75
    1.07
    800
    1.07
    999
    1.07
    Activations Density 0.225%

    No Known Activations