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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. 1624
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    Explanations

    phrases related to quantitative changes or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurements and statistics related to various subjects

    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
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    Negative Logits
    ebook
    -0.73
    icians
    -0.71
    nil
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    cott
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    çīĪ
    -0.68
    letes
    -0.68
    CLUD
    -0.67
    ossier
    -0.66
    acebook
    -0.65
    wcsstore
    -0.65
    POSITIVE LOGITS
    ahime
    0.83
     capacity
    0.77
     stature
    0.74
     increments
    0.73
     Expend
    0.72
     direction
    0.68
     responsiveness
    0.68
    '>
    0.67
     fortunes
    0.67
     magnitude
    0.67
    Activations Density 0.292%

    No Known Activations