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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. 9-RES-JB
    11. 16475
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    Explanations

    numbers indicating physical measurements like height, length, and width

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to size, particularly in feet and meters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ources
    -0.76
    earch
    -0.71
    abeth
    -0.70
    omen
    -0.67
     Whilst
    -0.67
    agree
    -0.66
    aimon
    -0.65
     whilst
    -0.64
    witch
    -0.64
    ften
    -0.63
    POSITIVE LOGITS
     gorilla
    0.99
     swath
    0.96
     vessel
    0.87
     diameter
    0.79
     centerpiece
    0.79
     stretch
    0.79
     rectangle
    0.79
     masterpiece
    0.76
     chunk
    0.76
     ordeal
    0.75
    Activations Density 0.095%

    No Known Activations