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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. 24542
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    Explanations

    measurements expressed in inches

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to measurements and instructions

    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
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    No Comments

    Negative Logits
     politic
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    SPONSORED
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    POSITIVE LOGITS
     optionally
    0.73
     modify
    0.64
     removable
    0.63
     desired
    0.62
     configuration
    0.61
     optional
    0.61
     specified
    0.61
     Input
    0.61
     duplicate
    0.60
     manually
    0.60
    Activations Density 3.438%

    No Known Activations