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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. 6-RES-JB
    6. 22338
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    Explanations

    proper nouns or specific names, such as product names, organization names, or movie titles

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and titles in various contexts

    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
     thereof
    -0.87
    $.
    -0.73
     thereto
    -0.72
     respectively
    -0.71
     therein
    -0.68
    }.
    -0.59
    EStreamFrame
    -0.58
     ..."
    -0.56
     arrang
    -0.55
    Interstitial
    -0.55
    POSITIVE LOGITS
     meanwhile
    0.81
     Profile
    0.81
     âĵĺ
    0.79
     spokesman
    0.69
     Edit
    0.67
     Emails
    0.66
     spokeswoman
    0.62
    ':
    0.62
     Releases
    0.62
     Lam
    0.59
    Activations Density 1.269%

    No Known Activations