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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. 3-RES-JB
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    Explanations

    the name "Aaron" from the text

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Aaron

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arget
    -0.80
    ribution
    -0.73
    mediate
    -0.72
    leading
    -0.68
    fare
    -0.66
    ribute
    -0.65
    valid
    -0.65
    late
    -0.65
    namese
    -0.65
    VALUE
    -0.64
    POSITIVE LOGITS
    thouse
    1.02
     Aaron
    0.93
     Rodgers
    0.83
     Burr
    0.81
    anth
    0.80
     Hernandez
    0.80
     Lev
    0.80
     Yan
    0.80
     Fors
    0.79
     Archer
    0.78
    Activations Density 0.006%

    No Known Activations