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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. 7408
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    Explanations

    words related to bacteria and microbial activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bacteria, particularly their roles and effects in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    nels
    -0.77
     largeDownload
    -0.76
    UTC
    -0.72
    ignment
    -0.69
    enburg
    -0.67
    fman
    -0.67
    nee
    -0.67
    ims
    -0.67
    nel
    -0.67
    ammy
    -0.67
    POSITIVE LOGITS
     bacteria
    1.32
    bial
    1.13
     microbi
    1.12
    acteria
    1.09
     infections
    1.04
     coli
    1.00
     infection
    1.00
     bacter
    0.99
     bacterial
    0.99
     flora
    0.98
    Activations Density 0.019%

    No Known Activations