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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. 6-RES-JB
    6. 15758
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    Explanations

    words related to physical flexibility or actions related to bending or adjusting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flexibility or adaptability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reincarn
    -0.75
     Ragnarok
    -0.71
     Peninsula
    -0.70
    ģĸ
    -0.67
    FORE
    -0.67
    keepers
    -0.66
     Columb
    -0.65
     Nare
    -0.62
    ansom
    -0.61
     Gore
    -0.61
    POSITIVE LOGITS
    ibly
    1.38
    itime
    1.20
    ibilities
    1.20
    ible
    1.16
    ibility
    1.14
     flex
    1.01
    igent
    0.91
    ing
    0.88
    arious
    0.88
    es
    0.87
    Activations Density 0.030%

    No Known Activations