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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. 1-RES-JB
    11. 8081
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    Explanations

    references to clothing or attire

    oai_token-act-pair · gpt-3.5-turbo

    references to casual attitudes or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rated
    -0.73
    hner
    -0.69
    =-=-=-=-=-=-=-=-
    -0.67
    CVE
    -0.65
     Tens
    -0.64
     Frie
    -0.63
     Nanto
    -0.63
    âĹ¼
    -0.63
    è¡
    -0.63
    burgh
    -0.62
    POSITIVE LOGITS
     casual
    1.13
    cas
    1.03
     observer
    0.81
    rontal
    0.80
    ual
    0.79
    pants
    0.79
    bnb
    0.78
     Casual
    0.78
     casually
    0.77
    trop
    0.74
    Activations Density 0.008%

    No Known Activations