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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. 10168
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    Explanations

    authors of books or articles

    oai_token-act-pair · gpt-3.5-turbo

    instances of authorship or references to authors

    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
    EMS
    -0.66
     fung
    -0.58
     taxpayers
    -0.56
     Turks
    -0.55
     inconven
    -0.54
     unbeliev
    -0.54
    eu
    -0.54
     bureaucrats
    -0.53
     Personnel
    -0.53
     Churches
    -0.53
    POSITIVE LOGITS
    itatively
    1.19
    itarian
    1.00
    itar
    0.97
    itative
    0.81
     laureate
    0.81
    ivist
    0.80
    lishing
    0.76
    icip
    0.74
    isp
    0.73
     of
    0.72
    Activations Density 0.047%

    No Known Activations