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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. 3-RES-JB
    11. 20001
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    Explanations

    the concept of returning or coming back

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "back."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ision
    -0.69
     Defendants
    -0.64
     viz
    -0.64
    eria
    -0.64
    uary
    -0.64
    ise
    -0.62
    ises
    -0.62
    ihad
    -0.62
    uss
    -0.61
    ities
    -0.60
    POSITIVE LOGITS
    dated
    0.92
    GROUND
    0.90
    door
    0.88
    wards
    0.86
    )=(
    0.86
    seat
    0.85
    packs
    0.84
    doors
    0.82
     home
    0.81
    stab
    0.80
    Activations Density 0.056%

    No Known Activations