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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
    11. 484
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    Explanations

    terms related to microbiology and microbial activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to microbes and their ecological impact

    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
    nel
    -1.00
    swick
    -0.86
    holders
    -0.75
     Glory
    -0.71
    Ult
    -0.68
    headed
    -0.68
    otine
    -0.67
     Ticket
    -0.67
    tower
    -0.66
    enburg
    -0.66
    POSITIVE LOGITS
     microbi
    1.21
    bial
    1.08
     flora
    1.02
     microbiota
    1.00
     microbial
    1.00
     microbes
    0.99
     microbiome
    0.97
    omes
    0.90
    ologist
    0.87
     biome
    0.85
    Activations Density 0.013%

    No Known Activations