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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. 8-RES-JB
    6. 3462
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    Explanations

    words in a different language, potentially related to an error or a different character encoding

    oai_token-act-pair · gpt-3.5-turbo

    sequences of non-standard or encoded characters, possibly relating to different languages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bearer
    -0.64
     Thomson
    -0.52
     authenticity
    -0.50
     underdog
    -0.48
     nonpartisan
    -0.47
    acebook
    -0.47
     authentic
    -0.46
     Broadcasting
    -0.46
     confidential
    -0.46
     negotiator
    -0.45
    POSITIVE LOGITS
    "></
    0.69
    Ø©
    0.66
    )).
    0.64
    ¶
    0.61
    ²
    0.60
    scl
    0.59
    ensis
    0.59
    }.
    0.59
    nova
    0.59
    Į
    0.57
    Activations Density 0.390%

    No Known Activations