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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. 0-RES-JB
    11. 9900
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    INDEX
    Explanations

    phrases related to accomplishments and achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prim
    -0.70
     Torn
    -0.66
     needles
    -0.62
    eds
    -0.62
    xx
    -0.61
    Cons
    -0.60
    rel
    -0.59
    lique
    -0.58
     shifted
    -0.57
     Used
    -0.57
    POSITIVE LOGITS
     achievement
    3.82
     accomplishment
    3.11
     achievements
    2.89
     Achievement
    2.51
     achie
    2.17
     accomplishments
    2.09
     attainment
    2.01
    chieve
    1.99
     Achievements
    1.98
     advancement
    1.49
    Activations Density 0.019%

    No Known Activations