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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. 9-RES-JB
    11. 18497
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    Explanations

    links or invitations for further action

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "want to" along with related intentions or desires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.80
    quickShipAvailable
    -0.70
    rising
    -0.70
     Said
    -0.70
    grounds
    -0.70
    valued
    -0.67
    expected
    -0.67
     Kinnikuman
    -0.65
    thumbnails
    -0.64
    til
    -0.64
    POSITIVE LOGITS
     partake
    1.17
     participate
    1.16
     contribute
    1.13
     maximize
    1.13
     avoid
    1.11
     emulate
    1.07
     pursue
    1.06
     conserve
    1.05
     indulge
    1.04
     learn
    1.04
    Activations Density 0.094%

    No Known Activations