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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. 21541
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    Explanations

    phrases related to the distribution or placement of items or elements

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with dispersion or distribution

    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
    Focus
    -0.69
     Transform
    -0.65
    LLOW
    -0.65
    Shift
    -0.65
    ultimate
    -0.64
    LS
    -0.59
    ICO
    -0.57
    asus
    -0.56
    Import
    -0.56
    Benz
    -0.56
    POSITIVE LOGITS
     across
    1.31
     throughout
    1.27
     everywhere
    1.12
     liber
    1.03
     thinly
    1.02
     scattered
    0.96
     hither
    0.95
     amongst
    0.91
    Across
    0.90
     around
    0.88
    Activations Density 0.131%

    No Known Activations