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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. 3-RES-JB
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    Explanations

    mentions of architects

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "architect" and related architectural professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mma
    -0.71
     Und
    -0.69
    TPS
    -0.65
    avez
    -0.64
    owder
    -0.64
     Mississ
    -0.63
     FEC
    -0.62
    wb
    -0.61
    ibaba
    -0.61
    aver
    -0.60
    POSITIVE LOGITS
    urally
    1.39
    itect
    1.33
     architect
    1.12
    ural
    0.88
    yout
    0.79
     Architect
    0.79
     orchestr
    0.78
     architects
    0.77
     designing
    0.77
     architectural
    0.74
    Activations Density 0.017%

    No Known Activations