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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. 4-RES-JB
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    Explanations

    measurements in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements in millimeters and kilograms

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

    No Comments

    Negative Logits
    bidden
    -0.92
    terday
    -0.80
    grade
    -0.79
    hemy
    -0.76
    gotten
    -0.76
    vale
    -0.75
    adobe
    -0.75
    tenance
    -0.74
    idate
    -0.72
    ardless
    -0.72
    POSITIVE LOGITS
     diameter
    0.86
     km
    0.79
     kg
    0.76
    icka
    0.73
     EDT
    0.73
    ²
    0.72
    itted
    0.70
     ÃĹ
    0.69
     diam
    0.69
     kW
    0.68
    Activations Density 0.026%

    No Known Activations