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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. 7-RES-JB
    11. 8904
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    INDEX
    Explanations

    mentions of locations or institutions with a specific name or noun

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to beverages, locations, and scientific concepts or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itions
    -0.78
    ned
    -0.74
    ious
    -0.73
    asus
    -0.72
    ozo
    -0.71
    istry
    -0.69
    icides
    -0.69
    ience
    -0.67
    ftime
    -0.67
    uga
    -0.67
    POSITIVE LOGITS
    ynthesis
    0.79
    omething
    0.74
     Creed
    0.74
    chens
    0.71
    ģĸ
    0.69
    ãĥij
    0.68
     Mellon
    0.67
    nai
    0.66
    ¯¯¯¯
    0.66
    ept
    0.65
    Activations Density 0.089%

    No Known Activations