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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. 9-RES-JB
    6. 929
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    Explanations

    words related to various groupings of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various groups or categories of people

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.68
    FontSize
    -0.68
    ;;;;;;;;;;;;
    -0.63
    lighting
    -0.62
    eous
    -0.56
    Translation
    -0.55
    Sharp
    -0.54
    staking
    -0.54
    âĶĢâĶĢâĶĢâĶĢ
    -0.51
     Boat
    -0.51
    POSITIVE LOGITS
     are
    1.45
     were
    1.39
     aren
    1.22
     weren
    1.18
     ARE
    1.15
     have
    1.09
     arrive
    1.07
     exist
    1.07
    were
    1.06
     appear
    1.06
    Activations Density 0.412%

    No Known Activations