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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. 10-RES-JB
    11. 23524
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of proper nouns or specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RELEASE
    -0.76
     acknow
    -0.70
     Updates
    -0.70
    ãĤ°
    -0.69
     Cyn
    -0.68
     Driving
    -0.68
     totality
    -0.67
     Contracts
    -0.64
    lihood
    -0.64
     Wrestling
    -0.63
    POSITIVE LOGITS
    essel
    1.03
    egu
    1.01
    asser
    1.00
    ellar
    0.98
    utter
    0.97
    aed
    0.97
    earing
    0.97
    uffy
    0.96
    ommel
    0.96
    argo
    0.95
    Activations Density 0.149%

    No Known Activations