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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5273
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    Explanations

    proper nouns related to people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or terms related to individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĪĴ
    -0.80
    ħĭ
    -0.79
    aptic
    -0.77
    gemony
    -0.74
    ãĤ©
    -0.73
    etry
    -0.72
    sterdam
    -0.72
    ete
    -0.71
    ĺ
    -0.71
    ileged
    -0.70
    POSITIVE LOGITS
    aukee
    0.77
    angelo
    0.72
    kus
    0.72
    Pull
    0.71
     Hers
    0.68
    MAN
    0.67
     Lans
    0.67
    hin
    0.66
     Osc
    0.66
    Offline
    0.65
    Activations Density 0.069%

    No Known Activations