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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. 6-RES-JB
    11. 15387
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    Explanations

    images or visual representations in text

    oai_token-act-pair · gpt-3.5-turbo

    references to images or pictures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.78
    orne
    -0.75
    ible
    -0.73
    rador
    -0.72
    iant
    -0.70
    vernment
    -0.70
    yrinth
    -0.70
    iencies
    -0.69
    aughs
    -0.68
    avanaugh
    -0.68
    POSITIVE LOGITS
    picture
    0.90
    que
    0.89
     galleries
    0.86
     depicting
    0.81
     img
    0.80
     gallery
    0.79
    ynthesis
    0.76
    Pict
    0.76
    journal
    0.76
    ocular
    0.76
    Activations Density 0.021%

    No Known Activations