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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. 22000
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    INDEX
    Explanations

    news agency names

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the news organization Reuters

    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
    izers
    -0.74
    Ö¼
    -0.66
    ivas
    -0.65
    ysis
    -0.64
    ount
    -0.64
    gran
    -0.63
     Dynam
    -0.60
    uster
    -0.60
    izer
    -0.60
    izable
    -0.59
    POSITIVE LOGITS
    UTERS
    0.97
     REUTERS
    0.95
    CLASSIFIED
    0.85
    externalActionCode
    0.84
    Film
    0.83
    WAR
    0.80
    photo
    0.78
    WARD
    0.78
    FORE
    0.78
    AMI
    0.77
    Activations Density 0.008%

    No Known Activations