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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. 6-RES-JB
    11. 7450
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    Explanations

    phrases related to widespread issues or crises, often emphasizing negative consequences or implications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various epidemics and public health crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earchers
    -1.01
    lasses
    -0.82
    wagen
    -0.77
     bindings
    -0.74
    bors
    -0.74
    yard
    -0.74
    nda
    -0.73
    imir
    -0.73
    dit
    -0.72
    tein
    -0.72
    POSITIVE LOGITS
     epidemic
    1.02
     plag
    0.94
     plague
    0.93
     endemic
    0.89
     Outbreak
    0.87
     outbreak
    0.86
     scourge
    0.86
    icity
    0.75
    olon
    0.74
     virus
    0.73
    Activations Density 0.026%

    No Known Activations