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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. 10-RES-JB
    6. 17805
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    Explanations

    monetary values mentioned in different currencies

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refres
    -0.61
     horizont
    -0.60
    bell
    -0.58
     Blaz
    -0.56
     seeker
    -0.56
     generalized
    -0.56
    ulet
    -0.56
    storm
    -0.54
     bree
    -0.54
     muscular
    -0.54
    POSITIVE LOGITS
    1000
    0.95
    150
    0.92
    1500
    0.90
    350
    0.87
    250
    0.86
    100
    0.85
    /-
    0.85
    4000
    0.85
    450
    0.83
    260
    0.82
    Activations Density 0.028%

    No Known Activations