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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. 3-RES-JB
    11. 4492
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    Explanations

    car brands

    oai_token-act-pair · gpt-3.5-turbo

    punctuated lists of items or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pool
    -0.65
    iple
    -0.61
    OSS
    -0.59
    enhagen
    -0.58
    zing
    -0.58
    ographed
    -0.57
    gage
    -0.56
     tru
    -0.56
    ilyn
    -0.55
    izon
    -0.55
    POSITIVE LOGITS
     respectively
    1.61
    depending
    1.18
     alike
    1.03
     accordingly
    0.96
     etc
    0.96
     whichever
    0.94
     depending
    0.94
     moreover
    0.90
     thereof
    0.87
    SPONSORED
    0.82
    Activations Density 0.726%

    No Known Activations