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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. 2124
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    INDEX
    Explanations

    positive adjectives describing quality or intensity

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers or adverbs that emphasize the quality of something

    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
    alia
    -0.74
    moil
    -0.74
    docs
    -0.72
    ULTS
    -0.71
    runs
    -0.70
    mails
    -0.69
     Documentation
    -0.68
    ventures
    -0.68
    iott
    -0.67
    pieces
    -0.67
    POSITIVE LOGITS
     interesting
    1.06
     sizeable
    0.98
     eclectic
    0.96
     unpleasant
    0.95
     sizable
    0.94
     important
    0.94
     nice
    0.94
     large
    0.94
     enjoyable
    0.92
     elaborate
    0.91
    Activations Density 0.102%

    No Known Activations