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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. 6-RES-JB
    11. 12836
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    Explanations

    proper nouns, particularly those with the word "Fer" in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Ferreira" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skydragon
    -0.71
     Alibaba
    -0.70
    UAL
    -0.66
    ãģį
    -0.65
     Reloaded
    -0.65
    ettings
    -0.65
    ually
    -0.64
    vironment
    -0.63
    utra
    -0.61
     cs
    -0.60
    POSITIVE LOGITS
    rier
    1.24
    riers
    1.20
    ocious
    1.18
    dinand
    1.16
    rero
    1.12
    rets
    1.10
    rer
    1.07
    riter
    1.05
    rell
    1.04
    ris
    1.03
    Activations Density 0.019%

    No Known Activations