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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. 9-RES-JB
    11. 16625
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    Explanations

    words related to success, achievement, and recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to glory and glamor

    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
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    No Comments

    Negative Logits
     Syri
    -0.67
    BOOK
    -0.66
     captcha
    -0.65
    arians
    -0.64
     Strait
    -0.63
     Stab
    -0.62
     Construct
    -0.59
    icut
    -0.59
     answ
    -0.58
     affirmative
    -0.57
    POSITIVE LOGITS
    doms
    0.86
    pots
    0.81
    gom
    0.81
    acing
    0.81
    iously
    0.80
    eah
    0.77
    cats
    0.77
     fide
    0.75
    sticks
    0.74
    ennes
    0.74
    Activations Density 0.110%

    No Known Activations