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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. 494
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    Explanations

    words related to interruptions or interjections in conversation, particularly starting with "Oh," and ", and"

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or expressions of surprise or emphasis

    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
    ascript
    -0.86
    ļéĨĴ
    -0.70
    resso
    -0.66
    İĭ
    -0.66
    ome
    -0.65
    inction
    -0.64
    emo
    -0.64
    UGC
    -0.63
    robe
    -0.63
    ForgeModLoader
    -0.63
    POSITIVE LOGITS
     yeah
    1.05
     yes
    0.93
     sir
    0.85
     thank
    0.82
     sorry
    0.82
     uh
    0.81
     dear
    0.79
     Wait
    0.77
     hello
    0.75
     please
    0.73
    Activations Density 0.103%

    No Known Activations