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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. 10-RES-JB
    11. 5380
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    Explanations

    keywords related to changes or fluctuations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to changes in quantities or conditions, particularly fluctuations and trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     irony
    -0.73
     mockery
    -0.63
     insider
    -0.63
     sarc
    -0.63
     stocking
    -0.62
     prank
    -0.61
     prisoners
    -0.61
     civ
    -0.61
     euphem
    -0.60
    ngth
    -0.59
    POSITIVE LOGITS
    uated
    1.13
    ished
    1.12
    uates
    1.11
    uate
    1.06
    ishes
    1.04
    kered
    1.02
    pped
    1.02
    ues
    1.01
    itates
    1.00
    ved
    1.00
    Activations Density 0.062%

    No Known Activations