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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. 7-RES-JB
    6. 21859
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    Explanations

    questions being asked

    oai_token-act-pair · gpt-3.5-turbo

    references to questions being asked or answered

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ufact
    -0.96
    rites
    -0.80
    ensions
    -0.73
    ortunately
    -0.69
    axy
    -0.69
    orpor
    -0.69
    gradation
    -0.68
     Tycoon
    -0.68
    alty
    -0.67
    ntil
    -0.67
    POSITIVE LOGITS
    naires
    1.37
    naire
    1.17
     answered
    1.11
     questions
    0.99
     posed
    0.99
     pertaining
    0.95
    answered
    0.90
     regarding
    0.90
     asked
    0.88
     unanswered
    0.87
    Activations Density 0.040%

    No Known Activations