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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. 0-RES-JB
    11. 17990
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    Explanations

    specific codes or labels related to data or information

    oai_token-act-pair · gpt-3.5-turbo

    references to the District Attorney and related legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    packing
    -0.73
    omes
    -0.68
    ipment
    -0.67
    BuyableInstoreAndOnline
    -0.66
    blank
    -0.64
    ome
    -0.64
    omic
    -0.62
    parts
    -0.62
    opping
    -0.62
    hearted
    -0.62
    POSITIVE LOGITS
     DA
    3.93
    DA
    1.80
     DOJ
    1.35
     JA
    1.26
     DG
    1.24
     JD
    1.18
     ANC
    1.17
     EE
    1.16
     DI
    1.13
     DAC
    1.13
    Activations Density 0.008%

    No Known Activations