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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. 2550
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    INDEX
    Explanations

    names of individuals or groups, possibly from news articles

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the special character Ļ in different contexts

    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
     disadvant
    -1.07
     vulner
    -0.87
     mathemat
    -0.86
     comprom
    -0.86
     princ
    -0.84
     incorpor
    -0.81
     agre
    -0.77
     constitu
    -0.77
     fundament
    -0.75
    raints
    -0.75
    POSITIVE LOGITS
    ï¸ı
    1.28
    ï¸
    1.07
    女
    0.93
    à¥
    0.92
    æľ
    0.86
    ½
    0.84
    ı
    0.81
    Ĩ
    0.80
    ãĤŃ
    0.80
    \":
    0.79
    Activations Density 0.330%

    No Known Activations