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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. 2-RES-JB
    6. 120
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    Explanations

    the term "exhibit."

    oai_token-act-pair · gpt-4-turbo

    references to art exhibitions or displays

    oai_token-act-pair · gpt-3.5-turbo

    references to exhibitions or displays

    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
     srf
    -0.71
     payday
    -0.70
    etheless
    -0.68
    pop
    -0.67
    apo
    -0.67
    leans
    -0.64
     waged
    -0.64
    nington
    -0.63
    sembly
    -0.63
     moons
    -0.63
    POSITIVE LOGITS
     exhibits
    1.32
     exhibit
    1.11
    ĸļ
    1.04
     displays
    0.96
     Exhibit
    0.94
     exhibitions
    0.89
     exhibited
    0.87
    erers
    0.84
    emonium
    0.81
     showcases
    0.80
    Activations Density 0.014%

    No Known Activations