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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 12074
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    Explanations

    verbs indicating future action or speculation

    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
    quickShipAvailable
    -0.73
    inventoryQuantity
    -0.71
    ELD
    -0.71
    UA
    -0.67
    Dur
    -0.65
    é¾įå¥ij士
    -0.63
    è¦ļéĨĴ
    -0.63
     Bridges
    -0.62
     signifies
    -0.62
     Mant
    -0.60
    POSITIVE LOGITS
     realize
    1.18
     notice
    1.17
     disapprove
    1.16
     understand
    1.15
     realise
    1.14
     recognize
    1.12
     perceive
    1.11
     react
    1.10
     appreciate
    1.09
     recognise
    1.09
    Activations Density 0.297%

    No Known Activations