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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. 14876
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    INDEX
    Explanations

    words related to quality or superiority

    oai_token-act-pair · gpt-3.5-turbo

    references to high quality or high status attributes

    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
    tnc
    -0.80
    vier
    -0.78
     Chaser
    -0.73
    uish
    -0.70
    arium
    -0.69
    ĸļ
    -0.68
    ¾
    -0.67
    zag
    -0.66
    itte
    -0.66
    ious
    -0.65
    POSITIVE LOGITS
    lighting
    0.92
    rise
    0.92
    fal
    0.89
     stakes
    0.88
    landers
    0.88
     altitude
    0.88
     achie
    0.87
    rises
    0.87
     priced
    0.87
    lander
    0.85
    Activations Density 0.073%

    No Known Activations