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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. 0-RES-JB
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    Explanations

    acronyms related to healthcare and medical services

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "HS" consistently throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spheres
    -0.68
     bending
    -0.67
     conqu
    -0.66
     orbital
    -0.66
     Aub
    -0.65
     enchanted
    -0.65
     compositions
    -0.64
     nic
    -0.64
     ancest
    -0.64
     celestial
    -0.63
    POSITIVE LOGITS
    HS
    4.62
    HL
    1.79
    hs
    1.70
    HT
    1.66
     HS
    1.60
    HC
    1.59
    HM
    1.52
    HD
    1.52
    HP
    1.49
    HA
    1.45
    Activations Density 0.016%

    No Known Activations