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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 9298
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    Explanations

    instances of the word "Pe" followed by some context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual or character, particularly variations of the name "Pe."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overload
    -0.67
    Domain
    -0.66
    oldown
    -0.65
    fix
    -0.63
     euth
    -0.62
    USS
    -0.61
    erer
    -0.61
     dors
    -0.61
    ront
    -0.61
    ãĤ¢ãĥ«
    -0.60
    POSITIVE LOGITS
     Pe
    3.59
    Pe
    2.40
     pe
    1.64
    pe
    1.51
     peas
    1.50
     PE
    1.39
     Pear
    1.30
     Pepper
    1.27
     Peach
    1.21
     peanut
    1.19
    Activations Density 0.018%

    No Known Activations