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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. 3280
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    Explanations

    references to items related to bio-related fields, such as biotechnology or biology

    oai_token-act-pair · gpt-3.5-turbo

    references to biotechnology

    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
    lain
    -0.82
    âķIJ
    -0.77
    AGES
    -0.75
    MENTS
    -0.74
    âķIJâķIJ
    -0.73
    swick
    -0.70
    UTION
    -0.69
    OCK
    -0.68
    oldemort
    -0.67
    witz
    -0.66
    POSITIVE LOGITS
    ochem
    1.08
    omed
    1.06
    otechnology
    1.06
    ochemistry
    1.05
    ographical
    1.04
    omes
    1.03
    ographies
    1.02
    ophon
    1.00
    ocide
    0.98
    omet
    0.98
    Activations Density 0.011%

    No Known Activations