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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. 15981
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    Explanations

    words related to problems or concerns

    oai_token-act-pair · gpt-3.5-turbo

    references to problems or complications

    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
    tsky
    -0.95
    theless
    -0.89
    asts
    -0.85
    emouth
    -0.85
    glas
    -0.83
    urses
    -0.79
    raltar
    -0.75
    cki
    -0.75
    ongyang
    -0.73
    ovy
    -0.73
    POSITIVE LOGITS
     plag
    1.09
     affecting
    0.83
    hooting
    0.82
     tracker
    0.78
    iating
    0.74
     unresolved
    0.74
     arise
    0.73
     relating
    0.72
     stemming
    0.71
     resolved
    0.68
    Activations Density 0.041%

    No Known Activations