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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    programming terminology related to user interface elements and data handling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    çĶ°
    -0.96
    taboola
    -0.94
    conservancy
    -0.85
    otin
    -0.82
    oiler
    -0.81
     DEFENSE
    -0.75
     disg
    -0.73
    estern
    -0.72
     streng
    -0.71
     glim
    -0.70
    POSITIVE LOGITS
    Context
    0.98
    Async
    0.97
    Result
    0.97
    Header
    0.95
    Exception
    0.94
    Attribute
    0.93
    Template
    0.92
    Object
    0.92
    Handler
    0.91
    Index
    0.89
    Activations Density 0.105%

    No Known Activations