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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. 11-RES-JB
    6. 20273
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    Explanations

    proper nouns related to individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    key names and significant numerical data related to political contexts and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    `.
    -0.77
    ================================
    -0.70
    %).
    -0.69
     attRot
    -0.68
    âķIJâķIJ
    -0.68
    ³³³
    -0.67
     ********************************
    -0.67
    ''.
    -0.66
    """
    -0.65
    / 
    -0.64
    POSITIVE LOGITS
     twice
    0.96
     while
    0.91
     alongside
    0.91
     before
    0.84
     amid
    0.84
     whereas
    0.83
     during
    0.83
     but
    0.81
     afterward
    0.79
     when
    0.76
    Activations Density 0.931%

    No Known Activations