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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. 7-RES-JB
    6. 2590
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    INDEX
    Explanations

    instances where reasoning or questioning about a situation is being expressed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express confusion or questioning regarding circumstances or actions

    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
    catentry
    -0.72
    abase
    -0.65
     attest
    -0.63
    aire
    -0.62
     ILCS
    -0.60
    iggins
    -0.59
     endif
    -0.58
     icing
    -0.58
    onde
    -0.56
     fide
    -0.56
    POSITIVE LOGITS
     bother
    0.88
     so
    0.84
     bothered
    0.84
     suddenly
    0.80
    ammed
    0.75
    so
    0.73
    forth
    0.70
    agna
    0.69
     bothering
    0.69
     chosen
    0.69
    Activations Density 0.514%

    No Known Activations