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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7942
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    Explanations

    words and phrases that seem to be a mix of non-English characters and potentially mistyped English words or names

    oai_token-act-pair · gpt-3.5-turbo

    characters from non-Latin alphabets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.76
    20439
    -0.75
     reconc
    -0.74
    displayText
    -0.66
    ritical
    -0.66
     glimpse
    -0.65
    irtual
    -0.64
     answ
    -0.64
    arton
    -0.64
     crossings
    -0.63
    POSITIVE LOGITS
    Ø©
    0.85
    ÙĨ
    0.84
     ÙĪ
    0.83
    ;;;;;;;;;;;;
    0.82
    Ùĩ
    0.76
     istg
    0.76
    ÏĤ
    0.75
     srfAttach
    0.74
     è£ıç
    0.72
     اÙĦ
    0.70
    Activations Density 0.158%

    No Known Activations