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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. 6-RES-JB
    6. 10332
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    INDEX
    Explanations

    references to dam construction and related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to dams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.86
     Lunch
    -0.65
     Lives
    -0.64
     Vegan
    -0.63
     Kaufman
    -0.63
     Prosecut
    -0.63
    ISTER
    -0.62
     Alleg
    -0.62
    ################################
    -0.62
     Individuals
    -0.62
    POSITIVE LOGITS
    ascus
    1.01
     dam
    0.90
    ming
    0.90
     dams
    0.87
    ajo
    0.86
    lp
    0.86
    ilitation
    0.83
    heads
    0.81
    itory
    0.77
    bling
    0.76
    Activations Density 0.036%

    No Known Activations