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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. 22276
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    INDEX
    Explanations

    phrases or words indicating various installments or editions of a series, franchise, or program for different types of media

    oai_token-act-pair · gpt-3.5-turbo

    references to sequential parts of a series or franchise installments

    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
    yer
    -0.83
    eric
    -0.80
    inators
    -0.77
    verbs
    -0.73
    gling
    -0.73
    bara
    -0.70
    esting
    -0.70
    ingers
    -0.69
    estation
    -0.68
    est
    -0.68
    POSITIVE LOGITS
     installment
    1.02
     installments
    0.91
    ĸļ
    0.78
     VII
    0.77
     VIII
    0.75
     "$:/
    0.74
    itial
    0.73
    teenth
    0.73
     thereof
    0.71
     finale
    0.70
    Activations Density 0.016%

    No Known Activations