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    1. Home
    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. 11500
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    Explanations

    photos in context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of photographs

    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
    ensable
    -0.83
    merce
    -0.81
    ressive
    -0.76
    cffff
    -0.75
    ricular
    -0.74
    Mand
    -0.73
    rane
    -0.71
    inence
    -0.71
    avanaugh
    -0.70
    orsi
    -0.70
    POSITIVE LOGITS
    journal
    1.11
    photos
    1.04
    >>>>>>>>
    0.98
     illustration
    0.96
     Phot
    0.93
    ynthesis
    0.91
     Photographer
    0.88
     shoots
    0.87
     caption
    0.86
     photo
    0.83
    Activations Density 0.031%

    No Known Activations