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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. 6-RES-JB
    11. 2917
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    INDEX
    Explanations

    references to users in sentences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of users

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Baptist
    -0.68
     UNESCO
    -0.66
    western
    -0.65
    SourceFile
    -0.62
    amer
    -0.60
     Winning
    -0.60
     Vaugh
    -0.60
     Maid
    -0.59
     Lutheran
    -0.59
     Hurricanes
    -0.59
    POSITIVE LOGITS
    pace
    1.15
    hip
    1.12
    cript
    1.01
     interface
    0.89
     interfaces
    0.88
    hare
    0.87
    ettings
    0.87
    interface
    0.86
    paces
    0.85
    mens
    0.85
    Activations Density 0.031%

    No Known Activations