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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. 11079
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    INDEX
    Explanations

    adverbs or phrases indicating degree or intensity

    oai_token-act-pair · gpt-3.5-turbo

    qualifiers that indicate degrees of quality or intensity

    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
    ULTS
    -1.02
    ults
    -0.86
    ulia
    -0.83
    yss
    -0.82
    ividual
    -0.81
    HAEL
    -0.79
    yrs
    -0.79
    abad
    -0.78
    INESS
    -0.77
    eka
    -0.75
    POSITIVE LOGITS
     innocuous
    1.07
     unorthodox
    1.04
     unrem
    1.02
     convoluted
    1.01
     amusing
    1.00
     mundane
    1.00
     arbitrary
    0.99
     pointless
    0.99
     esoteric
    0.99
     obscure
    0.99
    Activations Density 0.066%

    No Known Activations