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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. 11-RES-JB
    11. 11282
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    INDEX
    Explanations

    comparative phrases indicating a higher degree or level

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a desire for increased intensity or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    best
    -0.81
    ilts
    -0.72
    heid
    -0.71
    UCK
    -0.71
    none
    -0.70
    ovie
    -0.69
    uly
    -0.68
    selves
    -0.67
    ulia
    -0.67
    uca
    -0.66
    POSITIVE LOGITS
     forgiving
    1.09
     nuanced
    1.05
     streamlined
    1.05
     relaxed
    1.04
     subdued
    1.03
     complicated
    1.01
     adventurous
    0.98
     refined
    0.98
     sophisticated
    0.98
     manageable
    0.98
    Activations Density 0.115%

    No Known Activations