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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
    11. 14679
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    Explanations

    references to exhibitions or displays

    oai_token-act-pair · gpt-3.5-turbo

    references to various exhibits or exhibitions

    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
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    No Comments

    Negative Logits
    yip
    -0.71
    leans
    -0.71
    aiden
    -0.70
    pop
    -0.70
    tarian
    -0.70
    kos
    -0.65
     payday
    -0.65
     Wast
    -0.64
    zbek
    -0.64
    mbuds
    -0.63
    POSITIVE LOGITS
    ĸļ
    1.14
     exhibits
    1.08
     exhibit
    0.94
    emonium
    0.82
    alogy
    0.80
     displays
    0.79
    natureconservancy
    0.77
    properties
    0.76
     Exhibit
    0.76
     prominently
    0.76
    Activations Density 0.010%

    No Known Activations