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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. 11-RES-JB
    11. 5727
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    INDEX
    Explanations

    references to things or individuals appearing or being highlighted in various forms of media

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of features or characteristics in various contexts or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.79
    sis
    -0.76
    alty
    -0.75
    cation
    -0.75
    ãĥ¼ãĥ«
    -0.75
    inx
    -0.75
    mobi
    -0.71
    atum
    -0.69
    uyomi
    -0.68
    fml
    -0.68
    POSITIVE LOGITS
     prominently
    1.55
     collaborations
    0.92
     performances
    0.83
     clips
    0.83
     depictions
    0.83
     appearances
    0.82
     dozens
    0.81
     snippets
    0.81
     excerpts
    0.78
     celebrities
    0.78
    Activations Density 0.087%

    No Known Activations