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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. 8-RES-JB
    11. 401
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    Explanations

    phrases involving the word "many"

    oai_token-act-pair · gpt-3.5-turbo

    repetitive use of the word "many" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Printing
    -0.61
     Balanced
    -0.61
    ãĤ´ãĥ³
    -0.61
    è£ħ
    -0.58
    :{
    -0.56
    rawdownloadcloneembedreportprint
    -0.55
    Gaza
    -0.54
     RPG
    -0.54
     deduction
    -0.54
     Puzzles
    -0.54
    POSITIVE LOGITS
    possibly
    0.97
     albeit
    0.96
    perhaps
    0.93
    albeit
    0.83
    probably
    0.82
     uh
    0.81
    maybe
    0.80
     um
    0.79
    usually
    0.79
    but
    0.78
    Activations Density 0.158%

    No Known Activations