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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. 8-RES-JB
    11. 23428
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    Explanations

    instances where something is perceived or experienced in a particular way

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinions or evaluations related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ceive
    -0.67
     SEN
    -0.65
     Nanto
    -0.62
     coron
    -0.60
    WN
    -0.59
     Generation
    -0.59
    face
    -0.59
     behalf
    -0.59
    afia
    -0.57
     Tud
    -0.57
    POSITIVE LOGITS
    ById
    0.92
    AppData
    0.82
     irresistible
    0.79
     amusing
    0.78
     objectionable
    0.77
    bleacher
    0.76
     hilarious
    0.73
     fertile
    0.73
     fascinating
    0.72
     attractive
    0.71
    Activations Density 0.224%

    No Known Activations