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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22425
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    Explanations

    references to the company or brand "Pan"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pan" or "Pan American."

    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
    enance
    -0.75
    itability
    -0.71
    UGH
    -0.67
     minded
    -0.66
     Judd
    -0.65
     CTR
    -0.60
     confir
    -0.60
    OUND
    -0.59
    itably
    -0.58
    RON
    -0.58
    POSITIVE LOGITS
    acea
    1.33
    orama
    1.33
    tera
    1.22
    zers
    1.15
    asonic
    1.05
    iola
    1.00
    era
    0.99
    aman
    0.99
    handle
    0.98
    ahi
    0.96
    Activations Density 0.018%

    No Known Activations