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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. 4240
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    Explanations

    words related to network infrastructure and technology

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical or numerical data

    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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    No Comments

    Negative Logits
    Fax
    -0.72
    sburg
    -0.69
    Otherwise
    -0.65
    Iv
    -0.65
     ALSO
    -0.64
     Blasio
    -0.62
    $$$$
    -0.62
    CONCLUS
    -0.59
    _-
    -0.59
    "],"
    -0.59
    POSITIVE LOGITS
     Definition
    0.85
     first
    0.83
     initially
    0.83
     simplest
    0.83
     commonly
    0.83
     nutshell
    0.82
     originally
    0.80
    Introduction
    0.80
     terminology
    0.79
     Introduction
    0.79
    Activations Density 0.651%

    No Known Activations