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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. 14837
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    Explanations

    percentage values or numerical ranges

    oai_token-act-pair · gpt-3.5-turbo

    statistics and data related to demographics and political affiliations

    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
     frustrations
    -0.66
     proble
    -0.64
    xus
    -0.60
    ollah
    -0.58
    umbn
    -0.58
     fug
    -0.58
    helm
    -0.57
    ivot
    -0.57
    uminati
    -0.57
    onis
    -0.56
    POSITIVE LOGITS
     compared
    1.10
     alone
    1.02
     respectively
    1.01
     versus
    0.94
     (-
    0.90
    +.
    0.88
    *.
    0.87
     plus
    0.86
    .).
    0.85
     apiece
    0.84
    Activations Density 0.496%

    No Known Activations