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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. 0-RES-JB
    11. 1650
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    Explanations

    geometric shapes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of shapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uber
    -0.69
     record
    -0.68
    endment
    -0.66
    orah
    -0.63
     reservation
    -0.62
     clause
    -0.62
    HR
    -0.62
     notice
    -0.61
    orea
    -0.61
     Recovery
    -0.61
    POSITIVE LOGITS
     shapes
    3.69
     shape
    1.95
    shape
    1.73
     shaped
    1.67
     Shape
    1.56
     silhou
    1.52
    Shape
    1.47
     shaping
    1.39
     colours
    1.37
     forms
    1.29
    Activations Density 0.023%

    No Known Activations