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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. 9641
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    Explanations

    positive adjectives intensifying nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "real" in various contexts

    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
    xual
    -0.98
    berries
    -0.73
    ebook
    -0.73
     Presbyter
    -0.70
    indal
    -0.68
    549
    -0.67
     Pavilion
    -0.67
    asers
    -0.67
     Carbuncle
    -0.66
    ACK
    -0.66
    POSITIVE LOGITS
    ignment
    1.36
    isation
    1.23
     estate
    1.16
    igning
    1.13
    polit
    1.11
    isable
    1.07
    ising
    1.06
    izations
    1.05
    igned
    1.04
    estate
    1.04
    Activations Density 0.026%

    No Known Activations