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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. 9-RES-JB
    11. 4825
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    Explanations

    sentences indicating skepticism or questioning of commonly accepted beliefs

    oai_token-act-pair · gpt-3.5-turbo

    cautionary statements about consumer products and their perceived value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aback
    -0.63
     Elias
    -0.61
    iatus
    -0.61
     recount
    -0.60
     Recorded
    -0.59
     Rasmussen
    -0.58
     Marino
    -0.58
     Berm
    -0.58
     coroner
    -0.58
    sever
    -0.58
    POSITIVE LOGITS
     cheaply
    0.95
     aest
    0.90
     innovate
    0.89
     products
    0.88
     affordable
    0.87
     shiny
    0.87
     niche
    0.87
     attractive
    0.84
     cheap
    0.83
     compete
    0.83
    Activations Density 0.991%

    No Known Activations