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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 11305
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    Explanations

    phrases containing version numbers with associated release information

    oai_token-act-pair · gpt-3.5-turbo

    bullet points or list markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.90
    etheless
    -0.87
    undai
    -0.86
    laus
    -0.80
    alsa
    -0.78
    rador
    -0.77
    ushi
    -0.76
    ajo
    -0.76
    edient
    -0.75
    omorphic
    -0.75
    POSITIVE LOGITS
    âĢ¢âĢ¢
    1.19
    âĢ¢âĢ¢âĢ¢âĢ¢
    1.12
    ï¸ı
    1.03
    ï¸
    0.80
    âĸł
    0.77
    tal
    0.74
    âĢ¢
    0.72
     âĢ¢
    0.72
    Publisher
    0.71
    ··
    0.70
    Activations Density 0.012%

    No Known Activations