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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. 23482
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    Explanations

    references to population statistics and growth

    oai_token-act-pair · gpt-3.5-turbo

    references to population statistics and demographics

    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
    ery
    -0.79
    argon
    -0.74
    eryl
    -0.72
    ĪĴ
    -0.71
    sbm
    -0.71
    pire
    -0.71
    uran
    -0.71
    vell
    -0.70
    rontal
    -0.70
    rah
    -0.69
    POSITIVE LOGITS
     residing
    0.81
    atics
    0.81
     density
    0.79
    wide
    0.79
    population
    0.78
     centers
    0.72
     inhab
    0.71
     born
    0.70
     bases
    0.69
     attributable
    0.68
    Activations Density 0.083%

    No Known Activations