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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. 4970
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    Explanations

    strings related to mathematical equations and terms

    oai_token-act-pair · gpt-3.5-turbo

    scientific terminology and concepts related to research findings

    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
     hugs
    -0.70
    Cele
    -0.65
     moms
    -0.65
     VIP
    -0.64
     hugging
    -0.63
     grassroots
    -0.62
     diapers
    -0.62
     helicop
    -0.61
     battling
    -0.61
     diaper
    -0.61
    POSITIVE LOGITS
     empir
    0.95
     empirical
    0.92
    Figure
    0.90
     \(\
    0.88
     interpol
    0.87
     theorem
    0.87
     hypotheses
    0.85
    orem
    0.85
     methodological
    0.82
    hesis
    0.81
    Activations Density 1.257%

    No Known Activations