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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. 3-RES-JB
    11. 5981
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    Explanations

    phrases related to greater amounts or quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "more" indicating additional information or emphasis on quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.81
    oes
    -0.71
    Enlarge
    -0.70
     Classification
    -0.69
    ĺħ
    -0.68
    OCK
    -0.65
     Divinity
    -0.64
    DER
    -0.64
    oresc
    -0.64
     2024
    -0.64
    POSITIVE LOGITS
     than
    1.27
     stringent
    1.03
     importantly
    1.02
     sophisticated
    1.00
     expensive
    0.95
     efficient
    0.93
     elaborate
    0.90
     mature
    0.89
     extensive
    0.88
     complicated
    0.87
    Activations Density 0.192%

    No Known Activations