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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. 9-RES-JB
    11. 13172
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    Explanations

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-3.5-turbo

    variations of the suffix '-en'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Azerbai
    -0.79
     comprom
    -0.72
    soDeliveryDate
    -0.68
     Atom
    -0.67
     infringing
    -0.67
     destiny
    -0.66
     Idlib
    -0.65
    ERC
    -0.65
     inclination
    -0.65
     antim
    -0.64
    POSITIVE LOGITS
    burgh
    1.45
    berger
    1.39
    beck
    1.34
    meyer
    1.30
    ridge
    1.29
    stein
    1.27
    bach
    1.24
    worth
    1.23
    baugh
    1.23
    kamp
    1.22
    Activations Density 0.259%

    No Known Activations