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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. 1-RES-JB
    11. 13078
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    Explanations

    phrases related to data collection and analysis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to data collection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pher
    -0.67
    mare
    -0.67
    ellen
    -0.67
     circumstance
    -0.66
    than
    -0.66
    el
    -0.66
    qual
    -0.65
    neg
    -0.64
    mia
    -0.63
    tera
    -0.62
    POSITIVE LOGITS
     collected
    1.16
     collects
    1.02
    Collect
    0.98
     Collect
    0.93
    collect
    0.93
     collecting
    0.92
    ographs
    0.89
    DragonMagazine
    0.88
     collections
    0.86
    ograp
    0.85
    Activations Density 0.013%

    No Known Activations