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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. 11-RES-JB
    11. 15016
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    Explanations

    terms related to pests and infestations, particularly insects and rodents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to insects and pest control

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adesh
    -0.81
    seys
    -0.69
    £ı
    -0.67
    ovember
    -0.66
    ilitary
    -0.65
    onde
    -0.65
     Chou
    -0.65
    rontal
    -0.65
    æĸ
    -0.65
    ilde
    -0.65
    POSITIVE LOGITS
     larvae
    1.65
     pests
    1.56
     mosquitoes
    1.29
     pest
    1.28
     beetles
    1.26
     spores
    1.24
     lar
    1.24
     insects
    1.22
     bites
    1.22
     mosquit
    1.21
    Activations Density 0.153%

    No Known Activations