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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. 3-RES-JB
    6. 2396
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    INDEX
    Explanations

    phrases related to news stories

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Story" followed by numerical indicators, suggesting a focus on narrative structure or references to ongoing content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stocking
    -0.85
    orpor
    -0.85
    İĭ
    -0.74
    ensor
    -0.73
    missible
    -0.72
     congreg
    -0.71
    clusively
    -0.71
     duty
    -0.71
    ikini
    -0.71
    itionally
    -0.70
    POSITIVE LOGITS
     Story
    0.99
    Story
    0.95
    telling
    0.91
     Continued
    0.90
     Stories
    0.90
     Transcript
    0.87
    story
    0.84
    Edited
    0.83
    bold
    0.82
    Maker
    0.77
    Activations Density 0.009%

    No Known Activations