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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. 4992
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    Explanations

    proper nouns, specifically names beginning with the letters "Ta"

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Ta" or words starting with "Ta"

    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
    lessly
    -0.82
    states
    -0.58
     representations
    -0.57
     reception
    -0.56
     Spy
    -0.55
    ãĤĮ
    -0.55
     Arist
    -0.54
     OCD
    -0.54
     chrom
    -0.54
    reviewed
    -0.54
    POSITIVE LOGITS
    iba
    1.39
    plin
    1.32
    fts
    1.21
    vern
    1.14
    ubes
    1.12
    onga
    1.12
    pling
    1.09
    uren
    1.03
    xton
    1.01
    ft
    1.01
    Activations Density 0.035%

    No Known Activations