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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. 11160
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    Explanations

    words related to cleanliness, sanitation, disinfection, and hygiene

    oai_token-act-pair · gpt-3.5-turbo

    words related to sanitation and hygiene

    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
    REE
    -0.88
    NetMessage
    -0.87
    sets
    -0.83
    nir
    -0.83
    doms
    -0.80
    beat
    -0.76
    iculty
    -0.72
    llor
    -0.72
    igent
    -0.72
    redo
    -0.71
    POSITIVE LOGITS
     san
    1.24
     hygiene
    1.00
    itary
    0.92
     sanitation
    0.89
    ufact
    0.88
     steril
    0.80
     disinfect
    0.76
     sterile
    0.74
    agar
    0.74
    acco
    0.73
    Activations Density 0.014%

    No Known Activations