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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. 0-RES-JB
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    Explanations

    phrases related to the production or creation of various items or content

    oai_token-act-pair · gpt-3.5-turbo

    references to production, particularly in relation to various processes or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brow
    -0.73
    claw
    -0.70
    ventus
    -0.67
    azing
    -0.65
    Override
    -0.65
    nels
    -0.64
     lane
    -0.61
     boarding
    -0.61
    oat
    -0.61
    zing
    -0.60
    POSITIVE LOGITS
     produced
    3.42
    produced
    2.55
     produces
    2.02
     Produ
    1.99
     produce
    1.89
     generated
    1.89
     producing
    1.81
     emitted
    1.73
     produ
    1.69
    Produ
    1.68
    Activations Density 0.016%

    No Known Activations