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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. 893
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    Explanations

    phrases indicating appearances or assumptions about situations or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perceptions or appearances

    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
    ridge
    -0.78
    ãĢı
    -0.76
    ierrez
    -0.70
    culosis
    -0.66
    ement
    -0.64
    tex
    -0.64
    iamond
    -0.63
    kefeller
    -0.63
    arette
    -0.63
    avorite
    -0.62
    POSITIVE LOGITS
    pires
    0.79
    piring
    0.74
    ļé
    0.71
    ãĥĢ
    0.67
    XM
    0.63
    inar
    0.61
     insur
    0.61
    Ĥª
    0.59
    ENS
    0.59
     è£ıç
    0.58
    Activations Density 0.152%

    No Known Activations