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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
    11. 9103
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    Explanations

    words related to microscopes and the Methodist church

    oai_token-act-pair · gpt-3.5-turbo

    references to microscopes and Methodist-related terms

    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
    rant
    -0.77
    mire
    -0.72
    anian
    -0.71
    ration
    -0.70
    ilee
    -0.70
    altern
    -0.70
    eca
    -0.69
    ressor
    -0.69
    mine
    -0.69
    emis
    -0.69
    POSITIVE LOGITS
    istry
    0.78
     Bees
    0.77
     Rockefeller
    0.77
     Lavrov
    0.76
     Fey
    0.74
     bees
    0.72
    ETHOD
    0.68
    ature
    0.67
     microscope
    0.67
    ULE
    0.66
    Activations Density 0.043%

    No Known Activations