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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. 7-RES-JB
    6. 17539
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    Explanations

    phrases related to comparison, highlighting contrast or preference

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that highlight the notion of preference or superiority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrim
    -0.74
    kan
    -0.70
    ortal
    -0.68
    awaru
    -0.68
    utenberg
    -0.68
    enos
    -0.67
    eri
    -0.65
    illet
    -0.64
    iren
    -0.63
    ero
    -0.63
    POSITIVE LOGITS
     necessarily
    0.81
     anything
    0.80
     worrying
    0.73
     substance
    0.66
     vice
    0.64
    nam
    0.64
     appe
    0.64
     merely
    0.61
     something
    0.61
     actual
    0.61
    Activations Density 0.200%

    No Known Activations