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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. 6-RES-JB
    6. 5724
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    Explanations

    words related to different types of software tools or technology components

    oai_token-act-pair · gpt-3.5-turbo

    word endings that relate to various suffix patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    è¦ļéĨĴ
    -0.73
     DRAG
    -0.73
    ashtra
    -0.67
    ANA
    -0.64
    Ī
    -0.62
     departments
    -0.62
    NING
    -0.61
     FACE
    -0.59
    PASS
    -0.58
    YL
    -0.58
    POSITIVE LOGITS
    imus
    0.89
    opolis
    0.81
    zyme
    0.77
    ike
    0.76
    akery
    0.76
    omon
    0.75
    erd
    0.71
    onis
    0.65
    ariat
    0.65
    orman
    0.64
    Activations Density 0.242%

    No Known Activations