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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3989
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses

    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
    Not in Any Lists

    No Comments

    Negative Logits
     spir
    -0.88
     undet
    -0.87
     accrued
    -0.84
     prepar
    -0.83
     stocking
    -0.83
     clin
    -0.83
     intensive
    -0.83
     accumulated
    -0.82
     tackling
    -0.82
     overwhelmed
    -0.80
    POSITIVE LOGITS
    See
    1.60
    Note
    1.53
    Spoiler
    1.51
    Though
    1.49
    Actually
    1.47
    Answer
    1.47
    Side
    1.45
    Remember
    1.45
    Unless
    1.44
    Ironically
    1.44
    Activations Density 0.051%

    No Known Activations