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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. 4435
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    Explanations

    mentions of teenage-related phrases or content within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to teenagers and underage individuals in the context of legal or social issues

    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
    itsch
    -0.96
    daq
    -0.92
    adr
    -0.85
    ktop
    -0.84
    paio
    -0.83
    xon
    -0.80
    lda
    -0.80
     Canaver
    -0.79
    uden
    -0.78
    olulu
    -0.78
    POSITIVE LOGITS
     boys
    0.91
    olesc
    0.87
     teenagers
    0.84
    agers
    0.84
     girls
    0.82
     teenage
    0.81
     adolesc
    0.81
     adolescence
    0.80
    olescent
    0.80
     males
    0.79
    Activations Density 0.007%

    No Known Activations