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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. 10-RES-JB
    11. 5907
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    Explanations

    phrases related to an action being performed on a specific target or recipient

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "an."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Topics
    -0.72
    stones
    -0.69
     bills
    -0.66
    birds
    -0.65
     branches
    -0.63
     Regions
    -0.61
     benches
    -0.60
    root
    -0.60
    ments
    -0.60
     bras
    -0.59
    POSITIVE LOGITS
    abolic
    1.16
    cients
    1.02
    esthetic
    1.01
     ounce
    1.01
    agram
    0.98
     hour
    0.94
    aer
    0.94
    oint
    0.91
     empty
    0.90
     obstacle
    0.90
    Activations Density 0.212%

    No Known Activations