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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. 1-RES-JB
    11. 13236
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    Explanations

    references to the word "tut" or variations of it, potentially related to tutoring or instruction

    oai_token-act-pair · gpt-3.5-turbo

    references to tutors or tutoring contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saline
    -0.97
    oples
    -0.84
    phia
    -0.68
    ISSION
    -0.67
     sensitive
    -0.67
     mine
    -0.64
    ipolar
    -0.62
    nect
    -0.61
    ensitivity
    -0.61
     Lumpur
    -0.61
    POSITIVE LOGITS
     tut
    1.52
     Tut
    1.26
     tutor
    1.00
    tops
    0.89
    =#
    0.88
    icket
    0.87
    ickets
    0.86
    orship
    0.86
    reon
    0.86
    masters
    0.82
    Activations Density 0.008%

    No Known Activations