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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. 74
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    Explanations

    words related to measurement or tracking technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and evaluation processes

    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
    beard
    -0.80
     Belt
    -0.66
     forever
    -0.65
     belt
    -0.61
    PDATE
    -0.60
     daddy
    -0.60
     Daddy
    -0.59
     Stafford
    -0.58
     birth
    -0.57
     Known
    -0.56
    POSITIVE LOGITS
    ators
    2.15
    atory
    2.11
    ations
    2.09
    ator
    1.96
    ative
    1.75
    ational
    1.75
    ates
    1.74
    ating
    1.71
    atorial
    1.68
    atable
    1.59
    Activations Density 0.100%

    No Known Activations