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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. 6-RES-JB
    11. 3797
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    Explanations

    phrases indicating skill or proficiency in performing a particular task or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating proficiency or skill in various activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ships
    -0.73
    REDACTED
    -0.70
    SPONSORED
    -0.66
    forth
    -0.65
    quel
    -0.65
    onto
    -0.63
    Susan
    -0.62
    interrupted
    -0.62
    loo
    -0.62
     PACs
    -0.61
    POSITIVE LOGITS
     least
    0.97
    onement
    0.90
    roph
    0.88
     predicting
    0.87
    abase
    0.82
     conception
    0.81
    omics
    0.77
     detecting
    0.76
     cram
    0.74
     estimating
    0.74
    Activations Density 0.076%

    No Known Activations