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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. 708
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    Explanations

    a specific pattern of characters with non-English letters like 'Ñ', 'ģ', 'Đ', or 'Ĩ'

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols

    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
    20439
    -0.78
    irtual
    -0.75
     reconc
    -0.69
    irsch
    -0.67
     crossings
    -0.67
    ranch
    -0.63
    ritical
    -0.62
     glimpse
    -0.61
    uckland
    -0.61
    ilde
    -0.61
    POSITIVE LOGITS
    Ø©
    0.91
    ;;;;;;;;;;;;
    0.86
     srfAttach
    0.84
    ļ
    0.83
    Ĩ
    0.82
    ÏĤ
    0.80
     è£ıç
    0.80
    ÙĨ
    0.80
     ÙĪ
    0.79
    Į
    0.79
    Activations Density 0.064%

    No Known Activations