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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. 10-RES-JB
    6. 11796
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    Explanations

    references to specific time periods, such as centuries and years

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and societal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.72
    cause
    -0.70
    kefeller
    -0.63
    ãĥĦ
    -0.62
    jong
    -0.62
    Dro
    -0.62
    soType
    -0.61
    appropriately
    -0.60
    him
    -0.59
    cheat
    -0.59
    POSITIVE LOGITS
     there
    1.00
    ,
    0.91
    adays
    0.83
     we
    0.81
     it
    0.80
     however
    0.80
     these
    0.77
     tens
    0.76
     nobody
    0.75
     they
    0.73
    Activations Density 0.281%

    No Known Activations