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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. 1-RES-JB
    11. 8908
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    Explanations

    visual elements or references in text

    oai_token-act-pair · gpt-3.5-turbo

    references to visual elements or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lot
    -0.73
    doms
    -0.72
    unin
    -0.69
    sen
    -0.67
    road
    -0.67
    toe
    -0.66
    atern
    -0.66
    oning
    -0.66
    ET
    -0.66
    olid
    -0.66
    POSITIVE LOGITS
     visual
    1.05
    isations
    0.95
    izations
    0.92
    isable
    0.89
    visual
    0.88
    Visual
    0.87
     cues
    0.85
     cortex
    0.85
     arts
    0.83
     learners
    0.83
    Activations Density 0.011%

    No Known Activations