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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. 7-RES-JB
    6. 8035
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    Explanations

    phrases related to the word "Apple"

    oai_token-act-pair · gpt-3.5-turbo

    words related to applications and their functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸ı
    -0.78
    peed
    -0.66
     thirds
    -0.66
     knot
    -0.66
    warts
    -0.66
     unanswered
    -0.64
    ÄŁ
    -0.61
     knots
    -0.58
    SourceFile
    -0.56
     Swedish
    -0.56
    POSITIVE LOGITS
    urai
    0.86
    hof
    0.85
    olitics
    0.82
    illin
    0.81
    ause
    0.80
    isode
    0.78
    ertain
    0.76
    arently
    0.72
    atre
    0.71
    ciating
    0.70
    Activations Density 0.187%

    No Known Activations