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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. 9-RES-JB
    6. 9817
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    INDEX
    Explanations

    mentions related to financial support or funding

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating financial implications or potential outcomes

    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
    Âł
    -0.75
     alot
    -0.75
    ".[
    -0.75
    ³³
    -0.75
     ³³
    -0.74
    ³³³
    -0.74
    ³³³³
    -0.69
    [/
    -0.68
     âĸĪ
    -0.68
     [/
    -0.67
    POSITIVE LOGITS
     pricey
    0.63
     someday
    0.56
     meanwhile
    0.55
    ukong
    0.54
    oppers
    0.53
     anymore
    0.53
    OPS
    0.52
     —
    0.52
    undrum
    0.52
    aterasu
    0.51
    Activations Density 1.675%

    No Known Activations