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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. 4888
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    Explanations

    phrases related to enjoyment or pleasure

    oai_token-act-pair · gpt-3.5-turbo
    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
    soDeliveryDate
    -1.08
    uggest
    -0.70
    ARE
    -0.68
    ku
    -0.68
    RFC
    -0.66
     Cosponsors
    -0.66
     Cree
    -0.66
    need
    -0.65
    KK
    -0.65
     criteria
    -0.64
    POSITIVE LOGITS
     pleasures
    1.26
     sunshine
    1.22
     leisure
    1.14
     festivities
    1.09
     enjoyment
    1.09
     fruits
    1.06
     bliss
    1.05
     holidays
    1.03
     solitude
    1.02
     glory
    1.00
    Activations Density 0.265%

    No Known Activations