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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8107
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    INDEX
    Explanations

    references to sports scores or standings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" and its relation to rankings and positions

    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
    atos
    -0.63
    anism
    -0.63
     remembers
    -0.62
    amac
    -0.60
    forces
    -0.59
    ctors
    -0.56
    river
    -0.56
     distinguishes
    -0.54
     wallpaper
    -0.54
     redistributed
    -0.54
    POSITIVE LOGITS
     expense
    1.07
     outset
    1.03
     end
    0.95
     helm
    0.94
     behest
    0.90
     conclusion
    0.89
     halfway
    0.83
     beginning
    0.81
     start
    0.79
     seams
    0.79
    Activations Density 0.078%

    No Known Activations