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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. 1-RES-JB
    11. 5531
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names and specific individuals mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.90
     Firefly
    -0.70
    OTS
    -0.69
    é»Ĵ
    -0.67
    EngineDebug
    -0.67
     Daily
    -0.67
     ERA
    -0.67
     Pirates
    -0.66
     Flying
    -0.66
    ãĥ¥
    -0.65
    POSITIVE LOGITS
     Naj
    1.29
    ournal
    1.16
    erion
    0.93
    undai
    0.90
    egu
    0.89
    anan
    0.89
    ibaba
    0.85
    igon
    0.84
    hess
    0.84
    daq
    0.83
    Activations Density 0.012%

    No Known Activations