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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. 5-RES-JB
    6. 19099
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to images and credits in articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĺ
    -0.78
     secretaries
    -0.67
    adobe
    -0.67
     elev
    -0.65
    gam
    -0.64
    anmar
    -0.62
     Mahjong
    -0.62
     polymorph
    -0.62
    puter
    -0.61
     resear
    -0.61
    POSITIVE LOGITS
    CBC
    0.84
     Photo
    0.81
    ONSORED
    0.79
     AFP
    0.77
     IMAGES
    0.77
    Photo
    0.77
    ANI
    0.77
     Courtesy
    0.77
     Everett
    0.74
     Grip
    0.73
    Activations Density 0.203%

    No Known Activations