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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. 23409
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    Explanations

    time duration words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    units of time or duration

    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
    egu
    -0.75
    alg
    -0.66
    values
    -0.64
    asma
    -0.63
    gall
    -0.62
    ocl
    -0.61
    umbn
    -0.59
    ral
    -0.58
     follower
    -0.56
    kinson
    -0.56
    POSITIVE LOGITS
     afterward
    1.02
     straight
    0.97
     afterwards
    0.95
     uninterrupted
    0.93
     apiece
    0.91
     beforehand
    0.89
     consecut
    0.89
     thereafter
    0.87
     before
    0.86
    until
    0.85
    Activations Density 0.126%

    No Known Activations