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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5859
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    Explanations

    references to locations or historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to historical groups or entities

    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
    panic
    -0.87
    erate
    -0.80
    ware
    -0.74
    osate
    -0.73
    abal
    -0.73
    ulative
    -0.72
     solder
    -0.71
    vous
    -0.70
    milo
    -0.69
    ieu
    -0.68
    POSITIVE LOGITS
    oken
    0.64
    Ab
    0.63
    âĹ¼
    0.63
    ãĤ´ãĥ³
    0.63
     Holt
    0.62
     circum
    0.62
     Dec
    0.61
    _.
    0.61
    Liter
    0.60
    isd
    0.59
    Activations Density 0.000%

    No Known Activations