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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. 21842
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    INDEX
    Explanations

    phrases related to concluding or prompting actions, like signing up or expressing gratitude

    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey a sense of conclusion or finality

    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
     nuts
    -0.83
    onga
    -0.76
     compr
    -0.76
    oun
    -0.73
    ascus
    -0.72
     inver
    -0.72
     submerged
    -0.70
     sustainable
    -0.68
     scalp
    -0.68
     oun
    -0.68
    POSITIVE LOGITS
     Firstly
    1.16
     Especially
    1.06
     Literally
    1.05
     Whether
    1.01
     Lots
    0.99
     Unless
    0.99
     Absolutely
    0.99
     Whenever
    0.98
     Neither
    0.97
     Surely
    0.97
    Activations Density 0.515%

    No Known Activations