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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. 2-RES-JB
    6. 9940
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    INDEX
    Explanations

    irregular patterns or occurrences in data, events, or physical attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to irregularities or inconsistencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -1.04
    NRS
    -0.90
    ר
    -0.83
    ³³³³³³³³³³³³³³³³
    -0.80
    gets
    -0.79
    ofi
    -0.79
    ãĤ´ãĥ³
    -0.76
    ################
    -0.76
    =-=-=-=-
    -0.74
     Redemption
    -0.73
    POSITIVE LOGITS
     irregular
    1.04
    ially
    0.97
     irregularities
    0.88
    ly
    0.86
    urnal
    0.84
     cryst
    0.81
     manif
    0.81
    adian
    0.80
     occas
    0.77
     intervals
    0.76
    Activations Density 0.015%

    No Known Activations