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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. 4-RES-JB
    11. 86
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    Explanations

    references to materials such as aluminum

    oai_token-act-pair · gpt-3.5-turbo

    references to aluminum and its various uses or characteristics

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

    No Comments

    Negative Logits
    imaru
    -0.83
    zee
    -0.79
    arios
    -0.77
    fare
    -0.76
    rists
    -0.74
     Petraeus
    -0.74
    yrs
    -0.73
    eu
    -0.73
    vous
    -0.72
    erving
    -0.68
    POSITIVE LOGITS
     oxide
    1.40
     alloy
    1.22
    anguage
    1.20
     foil
    1.20
     aluminum
    0.97
     chloride
    0.97
     cans
    0.90
     Alloy
    0.89
     aluminium
    0.88
     dioxide
    0.86
    Activations Density 0.012%

    No Known Activations