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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. 5021
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    Explanations

    mentions of specific names related to a news event or topic

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those related to a notable incident or topic

    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
    20439
    -0.84
    ngth
    -0.66
     carrot
    -0.66
    UCT
    -0.64
     oats
    -0.64
    APS
    -0.64
    REE
    -0.64
    itting
    -0.64
    redits
    -0.64
    CLASS
    -0.64
    POSITIVE LOGITS
     Mate
    1.08
    vich
    0.82
    rette
    0.80
     Vie
    0.79
    eer
    0.73
    lette
    0.73
    atoon
    0.73
    querade
    0.72
    ovich
    0.71
    lda
    0.71
    Activations Density 0.019%

    No Known Activations