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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. 1-RES-JB
    6. 19518
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    Explanations

    different types or categories of items

    oai_token-act-pair · gpt-3.5-turbo

    references to different categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.65
    ometown
    -0.65
     Morning
    -0.64
    NING
    -0.61
     Guant
    -0.59
    yer
    -0.58
    ITED
    -0.58
    IRO
    -0.56
    onel
    -0.56
     Rio
    -0.56
    POSITIVE LOGITS
    etting
    1.37
    etter
    1.35
    faces
    1.02
    otypes
    0.94
    classes
    0.92
    otyp
    0.89
    ahead
    0.86
    face
    0.86
    isms
    0.85
    otype
    0.82
    Activations Density 0.008%

    No Known Activations