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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. 11-RES-JB
    11. 12503
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    INDEX
    Explanations

    phrases introducing more information or options

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating an abundance or variety of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.88
    agra
    -0.69
    efe
    -0.67
    ²¾
    -0.65
    ãĥĥãĥī
    -0.64
    avis
    -0.64
    ĺħ
    -0.64
    iman
    -0.63
    Gra
    -0.63
    =-=-=-=-=-=-=-=-
    -0.62
    POSITIVE LOGITS
     than
    1.54
     importantly
    1.35
     Than
    0.98
     besides
    0.98
    than
    0.90
     stringent
    0.81
     goodies
    0.76
     surprises
    0.75
    !
    0.75
     sophisticated
    0.75
    Activations Density 0.109%

    No Known Activations