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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. 5360
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    Explanations

    popularity or things that are popular

    oai_token-act-pair · gpt-3.5-turbo

    mentions of popularity in various contexts

    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
    ural
    -0.69
    ASC
    -0.67
    ignt
    -0.67
    eki
    -0.66
    agher
    -0.65
    OME
    -0.63
    ERO
    -0.63
    RAW
    -0.63
    IRE
    -0.62
     Fury
    -0.61
    POSITIVE LOGITS
    ized
    1.14
    izing
    1.02
    ity
    0.99
    ised
    0.97
    izers
    0.90
    ization
    0.87
    izer
    0.84
    ize
    0.82
    ites
    0.81
     amongst
    0.80
    Activations Density 0.049%

    No Known Activations