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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. 11-RES-JB
    11. 14447
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    INDEX
    Explanations

    concepts related to different physical measurements and conditions, particularly in scientific contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific temperature conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reports
    -0.68
    Berry
    -0.66
    bish
    -0.65
    forth
    -0.63
    FORE
    -0.62
    Faith
    -0.61
    Fed
    -0.59
    manship
    -0.59
    tal
    -0.58
    Word
    -0.58
    POSITIVE LOGITS
     depths
    0.98
     wavelengths
    0.97
    mosp
    0.97
     distances
    0.96
     concentrations
    0.95
    oms
    0.94
     frequencies
    0.93
    rophic
    0.92
     higher
    0.91
     temperatures
    0.90
    Activations Density 0.106%

    No Known Activations