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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. 8-RES-JB
    11. 105
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    Explanations

    phrases related to convenience

    oai_token-act-pair · gpt-3.5-turbo

    mentions of convenience and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    raid
    -0.81
    ongyang
    -0.80
    ynt
    -0.78
    hov
    -0.77
    yss
    -0.76
    otiation
    -0.75
    kar
    -0.74
    grave
    -0.70
    vae
    -0.68
    gen
    -0.68
    POSITIVE LOGITS
     convenient
    1.06
     convenience
    0.97
     conveniently
    0.95
     inconven
    0.93
     conven
    0.91
    venient
    0.85
    ãĥ¼ãĥĨ
    0.78
     store
    0.76
     ful
    0.74
    ously
    0.71
    Activations Density 0.067%

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