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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. 10-RES-JB
    11. 6439
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    Explanations

    specific references or mentions of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.89
    mare
    -0.77
    rio
    -0.74
    soever
    -0.73
    ieu
    -0.72
    à¼
    -0.72
    linger
    -0.72
    iest
    -0.72
    iem
    -0.71
    alert
    -0.70
    POSITIVE LOGITS
     instances
    0.83
     oneself
    0.80
     FIG
    0.79
     Figures
    0.78
     yourselves
    0.76
     passages
    0.75
     himself
    0.74
     incidents
    0.74
     figures
    0.73
    geries
    0.73
    Activations Density 0.132%

    No Known Activations