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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. 160
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    INDEX
    Explanations

    negative qualifiers or comparisons in phrases

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors or criticisms

    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
     Dickinson
    -0.77
     AVG
    -0.72
     EntityItem
    -0.71
     KC
    -0.68
     Rica
    -0.68
     Borders
    -0.67
    ulhu
    -0.66
     Fiscal
    -0.65
     indemn
    -0.65
     Kern
    -0.64
    POSITIVE LOGITS
    sized
    1.28
    based
    1.21
    themed
    1.15
    shaped
    1.14
    style
    1.13
    to
    1.06
    sounding
    1.05
    level
    1.04
    derived
    1.04
    inspired
    1.04
    Activations Density 0.507%

    No Known Activations