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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the word "malaria"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of diseases, particularly malaria, as well as medical terms related to anesthesia and its applications

    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
    bie
    -0.82
    20439
    -0.76
    bies
    -0.73
    sbm
    -0.73
    wcsstore
    -0.72
    gers
    -0.70
    MpServer
    -0.69
    kus
    -0.69
    atis
    -0.69
    Neigh
    -0.68
    POSITIVE LOGITS
    esthetic
    1.21
    esthesia
    1.13
    emia
    1.06
    esthes
    0.94
    emic
    0.89
     malaria
    0.88
    iasis
    0.83
    ibal
    0.76
    vel
    0.75
    ervation
    0.74
    Activations Density 0.024%

    No Known Activations