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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. 479
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    INDEX
    Explanations

    names of places or organizations

    oai_token-act-pair · gpt-3.5-turbo

    capital letters and proper nouns

    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
    Redditor
    -0.71
    Reviewer
    -0.66
     Gamma
    -0.61
    orters
    -0.58
    fusc
    -0.58
     Britann
    -0.57
    Zero
    -0.57
    omics
    -0.54
    Shape
    -0.54
    acci
    -0.54
    POSITIVE LOGITS
    VILLE
    1.26
     CITY
    1.13
    WASHINGTON
    1.10
    LAND
    1.09
    FIELD
    1.08
    TIT
    1.06
    BUS
    1.05
    MAN
    1.05
    HOU
    1.04
    MEN
    1.02
    Activations Density 0.142%

    No Known Activations