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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. 2965
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    Explanations

    references to financial benefits, especially in the context of regulations and restrictions

    oai_token-act-pair · gpt-3.5-turbo

    references to benefits provided to individuals or families

    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
    ãĥ£
    -0.73
    Plot
    -0.69
    ydia
    -0.69
     IPM
    -0.68
    ãĥĥãĥī
    -0.68
    wcsstore
    -0.65
    Sensor
    -0.64
     Rim
    -0.63
    Else
    -0.63
    %]
    -0.62
    POSITIVE LOGITS
    benefit
    1.03
     benefits
    1.03
     entitle
    1.02
     accrued
    0.94
     conferred
    0.93
     Benefits
    0.91
     benefit
    0.90
     afforded
    0.90
     reimburse
    0.86
     claimants
    0.85
    Activations Density 0.016%

    No Known Activations