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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. 8852
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    Explanations

    words related to high quality visual details

    oai_token-act-pair · gpt-3.5-turbo

    terms related to image resolution and vividness

    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
    ties
    -0.95
    dinand
    -0.84
    ttle
    -0.82
    redo
    -0.79
    onda
    -0.76
    sylv
    -0.75
    obin
    -0.75
    osure
    -0.74
    ament
    -0.72
    rina
    -0.72
    POSITIVE LOGITS
     wallpaper
    0.91
     vivid
    0.88
    Graphics
    0.85
     graphics
    0.83
    resolution
    0.82
     1280
    0.81
    1920
    0.81
     CTR
    0.80
     1024
    0.80
    1600
    0.77
    Activations Density 0.024%

    No Known Activations