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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
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    Explanations

    references to piracy and pirates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to piracy and its implications

    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
    ivas
    -0.82
    ocrine
    -0.77
     Matter
    -0.73
    itri
    -0.73
    gaard
    -0.72
    IX
    -0.70
    ADRA
    -0.69
    CHO
    -0.69
    ix
    -0.69
     Beir
    -0.68
    POSITIVE LOGITS
     piracy
    1.20
     pirates
    1.13
     pirate
    0.94
     plunder
    0.86
     raiding
    0.84
     infring
    0.83
     downloading
    0.82
     cartel
    0.82
     reneg
    0.80
     tradem
    0.80
    Activations Density 0.007%

    No Known Activations