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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16998
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sections of text that contain clear separators or transitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     positives
    -0.69
     crank
    -0.68
    LECT
    -0.67
     paranormal
    -0.66
     sque
    -0.65
     CEOs
    -0.63
     Logged
    -0.62
     envy
    -0.62
     multit
    -0.62
     spirited
    -0.62
    POSITIVE LOGITS
    opolis
    1.07
    ulia
    1.06
    apan
    1.01
    onia
    0.98
    alla
    0.96
    abad
    0.96
    burgh
    0.95
    inav
    0.95
    agar
    0.94
    ussia
    0.93
    Activations Density 0.264%

    No Known Activations