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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. 10-RES-JB
    11. 5176
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    Explanations

    numbers representing ages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to ages

    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
    paio
    -0.73
    ophon
    -0.71
    andise
    -0.67
     Antar
    -0.67
    aleb
    -0.65
    ovie
    -0.65
    yle
    -0.64
    atsu
    -0.63
    orney
    -0.61
     bell
    -0.61
    POSITIVE LOGITS
    00
    1.36
    th
    1.17
    50
    0.94
    nm
    0.89
    01
    0.88
    017
    0.88
    60
    0.87
    ¢
    0.84
    isher
    0.83
    000
    0.82
    Activations Density 0.109%

    No Known Activations