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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. 1175
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    Explanations

    prepositions followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and related phrases indicating direction or purpose

    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
    Newsletter
    -0.70
    eno
    -0.59
    Hot
    -0.59
    Residents
    -0.58
    hots
    -0.58
    Ľ
    -0.57
    itiz
    -0.57
    Definition
    -0.57
    Blue
    -0.57
     Affordable
    -0.56
    POSITIVE LOGITS
     whom
    0.75
    ardless
    0.70
    arently
    0.66
     which
    0.65
     unsus
    0.64
     apologies
    0.62
     perhaps
    0.62
     preferably
    0.62
    cause
    0.62
    elling
    0.61
    Activations Density 0.394%

    No Known Activations