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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. 11-RES-JB
    11. 17376
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    Explanations

    the word "por" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "por" and its variations, which suggests a focus on terms related to value or price

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sorts
    -0.72
     Dickinson
    -0.68
     Hav
    -0.67
     Radiation
    -0.63
     Ames
    -0.62
     Crimson
    -0.59
     Reaper
    -0.58
     Fraz
    -0.58
     dusk
    -0.57
     newsp
    -0.57
    POSITIVE LOGITS
    cup
    1.33
    folios
    1.28
    oshenko
    1.28
    cel
    1.22
    ridge
    1.14
    folio
    1.14
    cus
    1.05
    bably
    1.00
    tein
    0.97
    ches
    0.95
    Activations Density 0.035%

    No Known Activations