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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. 4-RES-JB
    11. 19982
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    Explanations

    geometrical shapes, specifically triangles and rectangles

    oai_token-act-pair · gpt-3.5-turbo

    shapes, primarily triangles and rectangles

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

    No Comments

    Negative Logits
    giving
    -0.78
    assetsadobe
    -0.71
    ãģ®éŃĶ
    -0.70
    ICH
    -0.70
    tv
    -0.69
    taking
    -0.69
    kinson
    -0.69
    audi
    -0.67
    erver
    -0.66
    itant
    -0.64
    POSITIVE LOGITS
     triangle
    1.00
     shaped
    0.93
     triangles
    0.88
     Triangle
    0.81
    hedral
    0.80
     latt
    0.78
     triangular
    0.77
     Rect
    0.76
     shape
    0.75
    urnal
    0.75
    Activations Density 0.008%

    No Known Activations