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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
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    Explanations

    words or phrases related to hospitals or healthcare facilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hospitals and healthcare facilities

    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
    WER
    -0.79
    $$$$
    -0.74
    Root
    -0.68
    âĸ¬âĸ¬
    -0.68
    parts
    -0.67
     Rite
    -0.66
     Crowley
    -0.65
    Ú
    -0.63
     Gardner
    -0.62
     WOM
    -0.62
    POSITIVE LOGITS
    itals
    1.21
    osp
    1.20
    atial
    1.14
    heric
    1.08
    itably
    0.97
    ospital
    0.95
    irtual
    0.93
    ensable
    0.92
    olit
    0.91
    acing
    0.90
    Activations Density 0.006%

    No Known Activations