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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. 9-RES-JB
    6. 11128
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    Explanations

    references related to political figures and their activities

    oai_token-act-pair · gpt-3.5-turbo

    references to political debates and their key moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LTD
    -0.95
    conservancy
    -0.80
     envis
    -0.79
    velop
    -0.78
     Pione
    -0.75
     colony
    -0.74
    byss
    -0.72
    ffect
    -0.72
     colonies
    -0.71
    knit
    -0.70
    POSITIVE LOGITS
     MSNBC
    1.35
     Hannity
    1.17
     CNBC
    1.17
     rant
    1.16
     comedian
    1.15
     comedians
    1.13
     CNN
    1.11
     commentator
    1.10
     interviewer
    1.07
     onstage
    1.07
    Activations Density 1.448%

    No Known Activations