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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. 9-RES-JB
    11. 22922
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    Explanations

    phrases indicating extent or reaching a certain limit

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate limits or extremes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itu
    -0.81
     Sovere
    -0.67
    aught
    -0.66
     Wake
    -0.65
    verett
    -0.65
    ould
    -0.62
     resumes
    -0.62
    stable
    -0.61
     Nep
    -0.60
    liction
    -0.59
    POSITIVE LOGITS
    WARD
    0.94
     overboard
    0.78
     sidx
    0.77
     derog
    0.74
     towards
    0.70
     lengths
    0.70
     toward
    0.69
    irtual
    0.67
     unnoticed
    0.67
    wrong
    0.66
    Activations Density 0.050%

    No Known Activations