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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. 1-RES-JB
    11. 20464
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    Explanations

    references to jungles

    oai_token-act-pair · gpt-3.5-turbo

    references to jungles and related themes or terms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Attempts
    -0.88
    aton
    -0.77
    Roberts
    -0.76
    igating
    -0.74
    viation
    -0.74
    20439
    -0.74
    GM
    -0.73
    Ö¼
    -0.72
    idation
    -0.72
    Pitt
    -0.72
    POSITIVE LOGITS
     jungle
    1.29
     Jungle
    1.21
     jung
    1.05
    ungle
    1.02
     Warfare
    0.85
     Jade
    0.79
     lion
    0.76
     Hatt
    0.75
     Blaze
    0.72
     Aj
    0.72
    Activations Density 0.005%

    No Known Activations