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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. 14046
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    Explanations

    references to universities and state-related institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and government 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
    ï¸ı
    -0.85
    ãĤ¼
    -0.67
    axis
    -0.66
    etimes
    -0.64
    Frames
    -0.64
    Transform
    -0.63
    pload
    -0.63
     Moonlight
    -0.61
    opens
    -0.61
     Jinn
    -0.60
    POSITIVE LOGITS
     troopers
    0.80
    aucuses
    0.79
    hyde
    0.77
     trooper
    0.74
    sylv
    0.73
    sylvania
    0.71
     legislatures
    0.70
    ciating
    0.67
     appropriations
    0.66
     monopoly
    0.66
    Activations Density 0.191%

    No Known Activations