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    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. 6300
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    Explanations

    phrases related to announcements or launches of new products or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of events, announcements, and launches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     thereof
    -0.80
    ghazi
    -0.78
    quickShipAvailable
    -0.68
    soever
    -0.68
    Asked
    -0.67
     tended
    -0.66
    iste
    -0.65
     hesitate
    -0.65
     lied
    -0.63
    ___
    -0.63
    POSITIVE LOGITS
     TWO
    0.97
     THREE
    0.96
     another
    0.96
     upcoming
    0.85
     Destination
    0.81
     ELE
    0.81
     an
    0.78
     LIVE
    0.77
     ONE
    0.77
     2019
    0.77
    Activations Density 0.472%

    No Known Activations