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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. 13312
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    Explanations

    phrases related to patience or gradual progress

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to health, wellness, and the implications of medical practices

    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
    Not in Any Lists

    No Comments

    Negative Logits
     sidx
    -0.63
    SourceFile
    -0.62
    Monitor
    -0.62
    hiba
    -0.61
     nonetheless
    -0.59
    STER
    -0.59
     Printed
    -0.58
    WIND
    -0.56
    ãĥĩãĤ£
    -0.56
     Hamb
    -0.56
    POSITIVE LOGITS
     nor
    1.12
     necessarily
    1.05
     anymore
    0.96
     magically
    0.87
     blindly
    0.86
     infall
    0.82
     overnight
    0.79
    olithic
    0.79
     flashy
    0.77
     flawless
    0.76
    Activations Density 1.087%

    No Known Activations