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

    mentions of elephants and related terms, with a focus specifically on elephant ivory

    oai_token-act-pair · gpt-3.5-turbo

    references to elephants and related terminology

    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
    pring
    -0.88
    ndra
    -0.84
    nd
    -0.83
    nder
    -0.83
    nda
    -0.80
    lly
    -0.79
    nces
    -0.79
    vous
    -0.78
    nergy
    -0.75
    lying
    -0.74
    POSITIVE LOGITS
     elephant
    1.49
     elephants
    1.42
    iasis
    1.22
     Elephant
    1.20
     poaching
    0.97
     herds
    0.96
     ivory
    0.92
     calf
    0.90
    monary
    0.88
     penis
    0.88
    Activations Density 0.015%

    No Known Activations