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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. 15049
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    Explanations

    words related to investigations or queries

    oai_token-act-pair · gpt-3.5-turbo

    words related to inquiries and investigations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Depend
    -0.75
    perm
    -0.64
    nown
    -0.63
     Kinnikuman
    -0.63
    fall
    -0.62
    har
    -0.61
    rome
    -0.60
     martyr
    -0.59
    enburg
    -0.59
     Diesel
    -0.57
    POSITIVE LOGITS
     inquire
    1.04
     probing
    1.04
    iry
    1.01
    naires
    1.00
     Inqu
    0.99
     inqu
    0.98
    isition
    0.95
    iries
    0.94
     inquiry
    0.92
     Inquiry
    0.85
    Activations Density 0.036%

    No Known Activations