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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. 8-RES-JB
    11. 2515
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    Explanations

    references to specific entities or organizations, particularly in relation to news outlets

    oai_token-act-pair · gpt-3.5-turbo

    references to financial plans and associated publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.87
    eele
    -0.82
    erto
    -0.80
    ierrez
    -0.79
    achev
    -0.78
    antage
    -0.75
    blem
    -0.73
    Guest
    -0.72
    pta
    -0.71
    artifacts
    -0.68
    POSITIVE LOGITS
    ר
    0.62
     Howell
    0.60
    ä½ľ
    0.60
    ĩ
    0.56
    è¦
    0.56
    edia
    0.55
     Sha
    0.55
    é¾įå
    0.55
    Integer
    0.54
     Maxwell
    0.54
    Activations Density 0.294%

    No Known Activations