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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. 1-RES-JB
    11. 616
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    INDEX
    Explanations

    specific words related to positive achievements or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of accomplishments and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boarding
    -0.85
    nery
    -0.77
     occupancy
    -0.74
    pper
    -0.67
    cise
    -0.67
     balk
    -0.65
    oning
    -0.64
    ocard
    -0.64
    rarily
    -0.63
     overcrowd
    -0.62
    POSITIVE LOGITS
     achievements
    1.35
     accomplishments
    1.27
     feats
    0.96
     milestones
    0.91
    ynski
    0.90
     successes
    0.90
    issance
    0.87
     Achievements
    0.85
     achie
    0.84
     accomplishment
    0.83
    Activations Density 0.019%

    No Known Activations