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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. 5934
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistics related to economic or sales data

    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
    HCR
    -0.96
    ITED
    -0.85
     obsc
    -0.69
     engraved
    -0.68
     redress
    -0.68
     etched
    -0.64
     Mehran
    -0.64
     Gw
    -0.63
    >>>>>>>>
    -0.63
     LAW
    -0.62
    POSITIVE LOGITS
    ages
    1.36
    age
    1.25
    engers
    1.08
    ership
    1.00
    enger
    1.00
    agers
    1.00
    aged
    0.87
    ers
    0.87
    imeters
    0.87
    aire
    0.83
    Activations Density 0.020%

    No Known Activations