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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. 19417
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    Explanations

    phrases indicating that something is under consideration or in progress

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to items that are being discussed or considered

    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
    raped
    -0.73
    IZE
    -0.71
    ̶
    -0.69
    ISON
    -0.69
    irection
    -0.68
    RANT
    -0.68
    OME
    -0.67
     Invalid
    -0.67
    itism
    -0.63
    arson
    -0.63
    POSITIVE LOGITS
     horizon
    1.38
     agenda
    1.18
     chopping
    1.12
     roadmap
    1.11
     shelf
    1.10
     shelves
    1.08
     table
    1.08
     doorstep
    1.05
     minds
    1.02
     menu
    0.98
    Activations Density 0.091%

    No Known Activations