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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5057
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    Explanations

    terms related to official or procedural matters

    oai_token-act-pair · gpt-3.5-turbo

    references to formal processes or procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tycoon
    -0.89
    ONES
    -0.75
    Phones
    -0.71
    RH
    -0.68
    =-=-=-=-=-=-=-=-
    -0.67
     beware
    -0.65
     maniac
    -0.65
     Tsukuyomi
    -0.64
    DVD
    -0.64
    nesota
    -0.63
    POSITIVE LOGITS
    ities
    1.47
    ized
    1.24
    ised
    1.11
    izing
    1.09
    isations
    1.07
    izations
    1.02
    ization
    1.00
    ising
    0.98
    ize
    0.96
    izes
    0.95
    Activations Density 0.040%

    No Known Activations