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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7916
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    Explanations

    specific words related to technology features or specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to types or categories, particularly in a technical or specification context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.90
    olulu
    -0.72
    utical
    -0.71
    å§«
    -0.70
    ordial
    -0.70
    ITNESS
    -0.69
    yrinth
    -0.68
    pton
    -0.67
    nas
    -0.67
    ernel
    -0.67
    POSITIVE LOGITS
    faces
    1.25
    face
    1.17
    ahead
    0.85
    casting
    0.80
    etter
    0.78
    etting
    0.75
    Script
    0.71
     inference
    0.68
    inker
    0.68
    oho
    0.68
    Activations Density 0.018%

    No Known Activations