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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. 17180
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    Explanations

    reports or statements from official sources

    oai_token-act-pair · gpt-3.5-turbo

    statements or reports from authoritative sources

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    otin
    -0.93
    ||||
    -0.87
    XT
    -0.86
     ILCS
    -0.85
    spir
    -0.78
    Measure
    -0.78
    COR
    -0.74
    bernatorial
    -0.74
    ranch
    -0.73
    Oak
    -0.73
    POSITIVE LOGITS
    istani
    0.96
     YPG
    0.89
    oÄŁ
    0.84
     Ankara
    0.82
     correspondent
    0.81
     authorities
    0.80
     AFP
    0.80
     Mahmoud
    0.79
     Buk
    0.78
     Lavrov
    0.77
    Activations Density 0.327%

    No Known Activations