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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. 0-RES-JB
    11. 10275
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    Explanations

    verbs related to fixing or correcting something

    oai_token-act-pair · gpt-3.5-turbo

    words related to rectification or correction processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akura
    -0.89
     Brewer
    -0.79
    aga
    -0.78
    dan
    -0.76
     Sung
    -0.73
    aka
    -0.72
    sung
    -0.71
     Saga
    -0.70
    icka
    -0.69
     Kau
    -0.68
    POSITIVE LOGITS
     rect
    4.09
     Rect
    2.48
    rect
    2.48
    Rect
    2.18
     rectangle
    1.50
     anus
    1.42
     remed
    1.30
     redress
    1.27
    RECT
    1.23
     corrective
    1.18
    Activations Density 0.035%

    No Known Activations