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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. 4-RES-JB
    11. 4757
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    Explanations

    proper nouns related to locations, particularly ones related to specific geographic locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "at" and similar short prepositions

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

    No Comments

    Negative Logits
     notch
    -0.74
     diplom
    -0.68
     certific
    -0.68
     imposing
    -0.64
     retract
    -0.63
     Scalia
    -0.62
     moot
    -0.62
     overturn
    -0.62
    èĥ
    -0.61
     duly
    -0.61
    POSITIVE LOGITS
    bread
    0.89
    eways
    0.84
    ulent
    0.83
    shell
    0.80
    grass
    0.76
    imore
    0.75
    estones
    0.75
    ilies
    0.74
    haven
    0.74
    tex
    0.73
    Activations Density 0.195%

    No Known Activations