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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. 4-RES-JB
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    Explanations

    references to the word "lunch"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "lunch."

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

    No Comments

    Negative Logits
     ministry
    -0.74
    wcs
    -0.73
    visual
    -0.71
    VICE
    -0.67
    lling
    -0.66
    BuyableInstoreAndOnline
    -0.65
    cc
    -0.64
    Visual
    -0.64
    FS
    -0.62
    verett
    -0.60
    POSITIVE LOGITS
    osate
    0.88
     GOODMAN
    0.87
    ramid
    0.85
    ools
    0.83
    alos
    0.81
    atters
    0.80
    anging
    0.80
    asted
    0.79
    unch
    0.79
    ained
    0.77
    Activations Density 0.015%

    No Known Activations