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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. 21765
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    INDEX
    Explanations

    mentions of individuals and their actions, especially on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to social media influencers and their content

    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
    aucus
    -0.72
    malink
    -0.69
    reement
    -0.68
    OULD
    -0.67
     Manufacturer
    -0.65
    oyer
    -0.65
    enario
    -0.65
    reset
    -0.63
     Agreement
    -0.63
    umbledore
    -0.63
    POSITIVE LOGITS
     himself
    1.03
     advoc
    1.01
     tours
    0.99
     videos
    0.98
     stunts
    0.97
     seminars
    0.97
     exhibitions
    0.96
     speeches
    0.96
     lectures
    0.96
     his
    0.94
    Activations Density 0.860%

    No Known Activations