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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. 5718
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    INDEX
    Explanations

    personal experiences or observations that are superlative or extreme in nature

    oai_token-act-pair · gpt-3.5-turbo

    subjective expressions of movie experiences and ratings

    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
     Cosponsors
    -0.67
     Parables
    -0.66
     preferred
    -0.66
    ItemTracker
    -0.62
    regor
    -0.61
     provisional
    -0.56
    ijn
    -0.53
    ²¾
    -0.53
    DragonMagazine
    -0.53
    utenberg
    -0.52
    POSITIVE LOGITS
     anywhere
    1.08
     EVER
    1.07
     ever
    0.82
    !.
    0.80
     imaginable
    0.76
    ever
    0.76
    .(
    0.75
     Pwr
    0.71
    !
    0.71
    !:
    0.70
    Activations Density 0.147%

    No Known Activations