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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. 1-RES-JB
    6. 4486
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    Explanations

    Adjectives or verbs related to lack of progress or development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic stagnation and lack of progress

    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
    guided
    -0.78
    thodox
    -0.73
    EStream
    -0.73
    pha
    -0.73
    ordering
    -0.70
    ittee
    -0.65
    icion
    -0.64
    itsch
    -0.62
    rights
    -0.62
    leans
    -0.61
    POSITIVE LOGITS
     stagnant
    1.20
     stagn
    0.96
     stagnation
    0.82
     Yamato
    0.81
     sluggish
    0.73
    nces
    0.70
    REAM
    0.69
     Ballard
    0.68
     ILCS
    0.68
     trickle
    0.67
    Activations Density 0.016%

    No Known Activations