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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. 10-RES-JB
    6. 14407
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    Explanations

    adjectives related to the level of difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Moody
    -0.79
    soType
    -0.77
    idth
    -0.74
     portray
    -0.73
     endors
    -0.71
    spons
    -0.70
    interstitial
    -0.69
    rings
    -0.68
     invests
    -0.67
    idem
    -0.66
    POSITIVE LOGITS
     tricky
    1.58
     daunting
    1.55
     tedious
    1.54
     ardu
    1.51
     difficult
    1.50
     cumbersome
    1.39
     impossible
    1.37
     complicated
    1.32
     challenging
    1.30
     easier
    1.27
    Activations Density 0.391%

    No Known Activations