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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. 7-RES-JB
    11. 2860
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    Explanations

    political and advocacy campaign-related terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to efforts, campaigns, and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     microscopic
    -0.69
    姫
    -0.69
    ãĥĥãĥĪ
    -0.65
    omical
    -0.65
    icable
    -0.63
    £ı
    -0.63
    anyl
    -0.62
    itte
    -0.61
    ãĤ¤ãĥĪ
    -0.61
    ometric
    -0.60
    POSITIVE LOGITS
    backs
    0.71
    naire
    0.71
     Beir
    0.68
    ages
    0.66
     Ars
    0.66
    =-=-=-=-
    0.65
    ender
    0.63
    ivals
    0.63
     involving
    0.63
     Draper
    0.62
    Activations Density 0.455%

    No Known Activations