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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. 3-RES-JB
    11. 18182
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    INDEX
    Explanations

    measurements expressed in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to dimensions and sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.74
    actionDate
    -0.73
    ivia
    -0.71
    udeb
    -0.70
    iesel
    -0.68
    District
    -0.68
    selection
    -0.64
    ICT
    -0.64
    leck
    -0.64
     sorely
    -0.64
    POSITIVE LOGITS
    imet
    1.13
    imeters
    0.81
    imeter
    0.81
    glass
    0.75
    pees
    0.72
     Suz
    0.70
    terness
    0.70
    aires
    0.67
    itudinal
    0.66
     diameter
    0.66
    Activations Density 0.021%

    No Known Activations