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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 11943
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    Explanations

    phrases related to specific numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum quantity or threshold

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bj
    -0.79
    kefeller
    -0.70
    kai
    -0.70
     DRAG
    -0.68
    dal
    -0.66
    halla
    -0.65
    king
    -0.64
     Brun
    -0.64
    gers
    -0.62
    gars
    -0.61
    POSITIVE LOGITS
     Polk
    0.76
     toler
    0.72
    uner
    0.68
     credible
    0.67
     partly
    0.63
    ¼
    0.62
    Station
    0.61
     partially
    0.60
     reputable
    0.60
     judging
    0.60
    Activations Density 0.025%

    No Known Activations