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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. 7-RES-JB
    11. 11477
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    INDEX
    Explanations

    exclamations expressing strong emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express surprise or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Siber
    -0.75
     Tec
    -0.72
    icipated
    -0.69
     Clarks
    -0.60
     polluted
    -0.60
     restrooms
    -0.60
     bathrooms
    -0.59
     Cameroon
    -0.59
     vaccination
    -0.56
     neighbor
    -0.56
    POSITIVE LOGITS
    Yeah
    0.97
    Correct
    0.88
    ye
    0.87
    Exactly
    0.86
    hm
    0.76
     Exactly
    0.76
    yeah
    0.75
    mmm
    0.75
    laugh
    0.73
     sir
    0.73
    Activations Density 0.222%

    No Known Activations