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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. 9-RES-JB
    11. 23334
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    Explanations

    references to universal concepts or policies

    oai_token-act-pair · gpt-3.5-turbo

    references to universal concepts, specifically in the context of health care and access

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenant
    -0.75
    mins
    -0.74
    mosp
    -0.73
    regon
    -0.73
    Ö¼
    -0.71
    usalem
    -0.68
    --------------------------------------------------------
    -0.68
    uden
    -0.67
    sbm
    -0.67
    ometimes
    -0.67
    POSITIVE LOGITS
    ized
    1.11
    izable
    1.09
    itarian
    1.08
    ised
    1.07
    ization
    1.06
    isable
    1.02
    isation
    1.01
    ITY
    0.99
    izing
    0.99
    ist
    0.96
    Activations Density 0.056%

    No Known Activations