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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. 3-RES-JB
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    Explanations

    mentions of a specific entity or person named "Kar" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the name "Kar" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBLE
    -0.88
    byter
    -0.81
    CRIP
    -0.76
    ibilities
    -0.76
    CAST
    -0.74
     Unic
    -0.73
    CLUS
    -0.72
    ĨĴ
    -0.71
    terday
    -0.71
    FORMATION
    -0.69
    POSITIVE LOGITS
    thal
    1.08
    zai
    1.03
    istani
    1.01
    amaz
    0.99
    ratom
    0.97
    assad
    0.94
    sten
    0.93
    acan
    0.91
    olyn
    0.90
    avan
    0.87
    Activations Density 0.008%

    No Known Activations