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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. 2-RES-JB
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    text related to printing or sharing content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Print"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gger
    -0.67
    venants
    -0.67
    ascular
    -0.67
     pupil
    -0.65
    onite
    -0.65
     towed
    -0.64
     Oaks
    -0.63
    steen
    -0.62
     derog
    -0.62
    ppers
    -0.62
    POSITIVE LOGITS
     Print
    1.21
    Print
    1.17
     Seym
    1.01
    Writer
    0.90
    sheet
    0.90
    Screen
    0.88
     Thumbnails
    0.84
    cies
    0.81
     Recipe
    0.80
     prints
    0.78
    Activations Density 0.011%

    No Known Activations