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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. 10727
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    Explanations

    financial figures and dates in various formats

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and dates

    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
     KH
    -0.99
     Ott
    -0.98
     Tak
    -0.91
     Kahn
    -0.88
     Kan
    -0.85
     Izan
    -0.84
     Panc
    -0.82
     Mahjong
    -0.80
     ak
    -0.80
     Ops
    -0.79
    POSITIVE LOGITS
    30
    1.37
    29
    1.35
    28
    1.31
     29
    1.25
     30
    1.24
    31
    1.24
     28
    1.22
     31
    1.12
    27
    1.07
    298
    1.07
    Activations Density 0.284%

    No Known Activations