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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. 5-RES-JB
    6. 8785
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    Explanations

    words related to condiments and food items

    oai_token-act-pair · gpt-3.5-turbo

    words related to place names and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.73
     guiActiveUn
    -0.69
    DAQ
    -0.68
     attribution
    -0.67
    ysis
    -0.65
     inhibitors
    -0.64
    pta
    -0.64
     eligibility
    -0.64
     editorial
    -0.61
     omission
    -0.60
    POSITIVE LOGITS
    ocks
    0.77
    lyn
    0.75
    ath
    0.75
    leans
    0.75
    ford
    0.75
    omed
    0.73
    lehem
    0.73
    haven
    0.72
    sey
    0.72
    rill
    0.70
    Activations Density 0.190%

    No Known Activations