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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. 7610
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    Explanations

    dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values expressed in dollars

    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
     Sed
    -0.74
     motions
    -0.73
     Puzz
    -0.72
     demol
    -0.70
     corrections
    -0.69
     Valent
    -0.69
     Gray
    -0.67
     motion
    -0.67
     interf
    -0.67
     Vid
    -0.66
    POSITIVE LOGITS
    100
    1.46
    1000
    1.40
    200
    1.38
    300
    1.36
    400
    1.35
    150
    1.35
    600
    1.32
    5000
    1.31
    500
    1.29
    250
    1.27
    Activations Density 0.070%

    No Known Activations