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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. 11-RES-JB
    11. 3683
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    HTML and CSS code snippets related to image manipulation

    oai_token-act-pair · gpt-3.5-turbo

    programming code related to graphical dimensions and transformations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Kramer
    -0.85
     Baker
    -0.70
     Singer
    -0.68
     retrospect
    -0.66
     McKay
    -0.66
     compuls
    -0.65
     McCartney
    -0.63
     rituals
    -0.63
     Allison
    -0.61
     commercials
    -0.61
    POSITIVE LOGITS
    Width
    1.72
    Height
    1.64
    height
    1.51
    width
    1.51
     Width
    1.44
     width
    1.42
     height
    1.38
    radius
    1.35
    Rect
    1.34
    Offset
    1.33
    Activations Density 0.158%

    No Known Activations