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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. 3124
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    Explanations

    terms related to enabling or allowing something to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate enabling or allowing actions or potential

    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
    laughter
    -0.69
    ELD
    -0.69
    lights
    -0.67
    ĪĴ
    -0.65
    cloth
    -0.64
    Appearances
    -0.64
    soDeliveryDate
    -0.63
     Brach
    -0.63
    listed
    -0.63
    quickShipAvailable
    -0.63
    POSITIVE LOGITS
     concentrate
    1.32
     communicate
    1.24
     avoid
    1.18
     easily
    1.16
     utilize
    1.13
     achieve
    1.13
     evade
    1.13
     differentiate
    1.13
     efficiently
    1.11
     consolidate
    1.10
    Activations Density 0.136%

    No Known Activations