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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. 11-RES-JB
    11. 17279
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    Explanations

    mentions of specific details or questions within a broader context

    oai_token-act-pair · gpt-3.5-turbo

    topics related to governance and policy-making

    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
    âĢ
    -0.96
    [/
    -0.93
    ãĢį
    -0.92
    âĢ¦..
    -0.83
    âĢ¦.
    -0.83
    âĢ¦
    -0.81
    -0.81
    .ãĢį
    -0.81
    âĢ¦âĢ¦
    -0.80
    """
    -0.79
    POSITIVE LOGITS
     initials
    0.81
     eighth
    0.75
     660
    0.75
     ninth
    0.73
     251
    0.72
     hardness
    0.71
     seventh
    0.71
     610
    0.71
     840
    0.69
     410
    0.69
    Activations Density 1.241%

    No Known Activations