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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. 6503
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    Explanations

    phrases indicating an extreme level of action or opinion

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extent or limits of actions or opinions

    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
     Tsukuyomi
    -0.73
    depend
    -0.70
     Nep
    -0.69
     Depend
    -0.69
    etta
    -0.63
     Cape
    -0.63
    itu
    -0.62
     Stability
    -0.61
     Pend
    -0.61
    stable
    -0.60
    POSITIVE LOGITS
     lengths
    0.82
     overboard
    0.79
    WARD
    0.76
    raviolet
    0.75
    ixel
    0.74
     redef
    0.70
     bashing
    0.68
     boldly
    0.67
     exposing
    0.67
    andestine
    0.67
    Activations Density 0.056%

    No Known Activations