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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
    11. 16183
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    Explanations

    keywords related to financial savings or accounts

    oai_token-act-pair · gpt-3.5-turbo

    references to savings

    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
    Else
    -0.72
    SOURCE
    -0.71
    ña
    -0.70
    aches
    -0.68
    HEAD
    -0.65
    IGN
    -0.64
    gon
    -0.64
     Hug
    -0.62
     pollen
    -0.60
    SPONSORED
    -0.59
    POSITIVE LOGITS
     savings
    1.10
     Savings
    1.05
     paradise
    0.85
    benefit
    0.81
     srfAttach
    0.77
     Saving
    0.75
    avorite
    0.74
    saving
    0.72
    lasses
    0.71
     saving
    0.70
    Activations Density 0.013%

    No Known Activations