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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. 8-RES-JB
    11. 23910
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    Explanations

    references to numerical values in the context of data analysis or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.83
    Interstitial
    -0.79
    OPLE
    -0.76
    osi
    -0.75
    POSE
    -0.72
    lich
    -0.70
     Conditions
    -0.68
    Parameters
    -0.67
     Canal
    -0.67
     undert
    -0.64
    POSITIVE LOGITS
    ynthesis
    0.89
     tallied
    0.87
    metry
    0.87
    poons
    0.86
    heet
    0.81
    pace
    0.81
     compiled
    0.81
    hare
    0.80
    peak
    0.78
    ynt
    0.78
    Activations Density 0.065%

    No Known Activations