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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. 5-RES-JB
    6. 20508
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    Explanations

    phrases related to locations or companies named "Clar"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Clar."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MET
    -0.83
    FAULT
    -0.77
    ORGE
    -0.76
    WAYS
    -0.71
     Yus
    -0.71
     hard
    -0.70
    ETF
    -0.69
    STEM
    -0.68
    HS
    -0.67
    ħĭ
    -0.64
    POSITIVE LOGITS
    ifications
    1.39
    ifying
    1.36
    inet
    1.32
    ifier
    1.22
    ified
    1.19
    ifiers
    1.19
    ification
    1.17
    ifies
    1.15
    issa
    1.13
    ities
    1.07
    Activations Density 0.016%

    No Known Activations