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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. 2-RES-JB
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    Explanations

    references to centuries

    oai_token-act-pair · gpt-3.5-turbo

    references to the 19th century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.63
    acci
    -0.62
    values
    -0.62
    ITED
    -0.62
    cule
    -0.62
    gdala
    -0.60
    BIL
    -0.58
     Kafka
    -0.56
    Attributes
    -0.55
     fortunes
    -0.55
    POSITIVE LOGITS
    ousand
    0.91
    ieth
    0.90
    orne
    0.87
    irty
    0.85
    century
    0.83
     Amendment
    0.83
     century
    0.82
     inning
    0.82
    umbnail
    0.82
     installment
    0.81
    Activations Density 0.045%

    No Known Activations