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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. 7-RES-JB
    6. 14858
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    Explanations

    mentions of academic institutions or schools

    oai_token-act-pair · gpt-3.5-turbo

    references to various academic disciplines and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.75
     toll
    -0.74
     mating
    -0.74
     arsen
    -0.71
     territ
    -0.70
     tame
    -0.67
     genus
    -0.67
    OPLE
    -0.67
     fumes
    -0.66
     pleas
    -0.66
    POSITIVE LOGITS
    craft
    0.98
    house
    0.91
    lain
    0.87
    neys
    0.87
    lot
    0.86
    sonian
    0.85
    alon
    0.85
    haus
    0.84
    master
    0.83
    enium
    0.83
    Activations Density 0.045%

    No Known Activations