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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. 2-RES-JB
    11. 14506
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    Explanations

    specific references to professors

    oai_token-act-pair · gpt-3.5-turbo

    references to professors and their titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MENTS
    -0.81
     cruc
    -0.73
    MENT
    -0.69
     leash
    -0.69
    ãĥŀ
    -0.69
    wolves
    -0.69
    VALUE
    -0.68
    20439
    -0.66
    wolf
    -0.65
     shortened
    -0.64
    POSITIVE LOGITS
    essors
    1.58
    essor
    1.31
    iciency
    1.23
    icient
    1.11
    iles
    1.05
    ound
    1.03
    icist
    1.00
    ession
    1.00
    ository
    0.96
    essed
    0.93
    Activations Density 0.004%

    No Known Activations