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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. 21160
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    Explanations

    mentions of funding and financial support

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to funding and financial involvement in various projects or events

    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
     hindsight
    -0.80
     NEVER
    -0.71
    à¨
    -0.58
     dare
    -0.57
     REALLY
    -0.57
    whatever
    -0.56
    ALLY
    -0.55
    ãĥİ
    -0.53
     persisted
    -0.53
    itiveness
    -0.52
    POSITIVE LOGITS
     respectively
    1.36
    .
    1.00
    .;
    0.93
     apiece
    0.87
    .).
    0.77
    .'
    0.75
    .''.
    0.75
    ;
    0.74
    .''
    0.73
     alongside
    0.73
    Activations Density 0.705%

    No Known Activations