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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 379
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    INDEX
    Explanations

    words related to accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to roles, activities, and significant achievements

    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
    ensis
    -0.70
     Examiner
    -0.67
     2024
    -0.66
     2025
    -0.65
     Tactics
    -0.63
     Survival
    -0.62
     Fury
    -0.62
     Alone
    -0.61
     Helsinki
    -0.59
     Vengeance
    -0.59
    POSITIVE LOGITS
     including
    1.15
     imaginable
    0.98
     besides
    0.95
     ranging
    0.95
     throughout
    0.86
     pertaining
    0.85
     totaling
    0.85
     relating
    0.83
     simultaneously
    0.82
     includ
    0.82
    Activations Density 0.380%

    No Known Activations