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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. 2-RES-JB
    6. 22976
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates formatted as month/day/year

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.84
    awaru
    -0.81
    ailability
    -0.76
    ierrez
    -0.75
     notor
    -0.72
     hemor
    -0.72
     hung
    -0.72
    ocene
    -0.71
    ñ
    -0.71
    mson
    -0.70
    POSITIVE LOGITS
    01
    1.17
    03
    1.04
    000000
    1.01
    003
    1.01
    0100
    1.00
    009
    1.00
    05
    0.99
    02
    0.98
    09
    0.98
    0001
    0.96
    Activations Density 0.010%

    No Known Activations