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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. 3309
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    Explanations

    phrases related to lists or itemization

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods at the end of sentences

    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
    ilion
    -0.74
    emaker
    -0.70
    lling
    -0.68
     metic
    -0.66
    jah
    -0.65
    legged
    -0.64
     knock
    -0.63
     liberated
    -0.63
    arer
    -0.63
    lled
    -0.63
    POSITIVE LOGITS
     Anyway
    1.34
     Regardless
    1.00
     Likewise
    1.00
     Similarly
    0.96
     Conversely
    0.95
    Anyway
    0.95
     Instead
    0.94
     Nevertheless
    0.93
     Accordingly
    0.92
     Therefore
    0.92
    Activations Density 0.095%

    No Known Activations