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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. 9-RES-JB
    11. 22930
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    Explanations

    mentions of looking visually at a person or situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "look" in various forms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.64
     fare
    -0.63
     unfocusedRange
    -0.60
    accompan
    -0.60
    EStreamFrame
    -0.59
    trl
    -0.58
    kt
    -0.58
    kson
    -0.58
    ä¹
    -0.57
     flows
    -0.57
    POSITIVE LOGITS
    ahead
    0.78
     ashamed
    0.76
     forward
    0.75
     favorably
    0.74
     noses
    0.74
     alike
    0.73
     suspic
    0.72
    ared
    0.71
     backward
    0.71
    anned
    0.67
    Activations Density 0.068%

    No Known Activations