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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. 10921
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    Explanations

    references to items being physically filled or stuffed inside something else

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to the word "stuffed" and terms related to technology or cryptocurrency

    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
    nces
    -0.91
    sis
    -0.80
    furt
    -0.77
    nce
    -0.76
    mus
    -0.74
    heid
    -0.72
    rats
    -0.71
    ments
    -0.69
    amental
    -0.69
    inez
    -0.68
    POSITIVE LOGITS
    ily
    0.89
    nown
    0.82
    entimes
    0.81
    oby
    0.80
    arella
    0.79
    ascus
    0.76
    efully
    0.74
    imon
    0.74
    arma
    0.73
    ipal
    0.72
    Activations Density 0.057%

    No Known Activations