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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. 13912
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    Explanations

    a variety of numerical values combined with miscellaneous terms and names

    oai_token-act-pair · gpt-3.5-turbo

    specific numeric sequences and identifiers

    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
     closures
    -0.81
     closure
    -0.76
     transact
    -0.75
     outcomes
    -0.75
     increment
    -0.74
     counselling
    -0.74
     textbooks
    -0.74
    ),"
    -0.74
     prospects
    -0.73
     curric
    -0.72
    POSITIVE LOGITS
    666
    1.35
    777
    1.27
    420
    1.23
    007
    1.19
    123
    1.18
    Magikarp
    1.17
    Gaming
    1.15
    guy
    1.13
    555
    1.12
    Guy
    1.12
    Activations Density 0.132%

    No Known Activations