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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. 15522
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    Explanations

    sequences of characters that may not correspond to regular words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols typically used in technical or artistic contexts

    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
     mathemat
    -0.82
     Sparkle
    -0.71
     relevance
    -0.62
     approximate
    -0.62
    swick
    -0.58
     recomm
    -0.58
     poker
    -0.57
     appointments
    -0.57
     pickups
    -0.57
     override
    -0.56
    POSITIVE LOGITS
    ÏĦ
    1.08
    ¸
    0.98
    ï¸ı
    0.97
    é¾įåĸļ士
    0.94
    Ct
    0.93
    rh
    0.93
    ña
    0.91
    ng
    0.90
    ³
    0.89
    ĥ
    0.88
    Activations Density 0.029%

    No Known Activations