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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to the name "Blair."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly Blair and Dunham

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.95
    ensing
    -0.76
    DoS
    -0.76
    Temperature
    -0.76
    Trend
    -0.76
    uality
    -0.75
    ymes
    -0.73
    Consumer
    -0.71
    ãĤº
    -0.70
    Ģ
    -0.69
    POSITIVE LOGITS
     Blair
    1.17
    ufact
    0.81
    oleon
    0.79
    anke
    0.77
    ites
    0.75
     mosqu
    0.74
    thinkable
    0.74
    emouth
    0.73
    abies
    0.71
    anches
    0.69
    Activations Density 0.007%

    No Known Activations