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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. 7077
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    Explanations

    phrases related to a specific subject being discussed

    oai_token-act-pair · gpt-3.5-turbo

    the word "such" in contexts implying significant examples or references

    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
    ertodd
    -0.77
    achus
    -0.73
    wards
    -0.73
    kick
    -0.73
    ï¸ı
    -0.72
    olate
    -0.72
     Loaded
    -0.70
    ipedia
    -0.67
    ysc
    -0.66
    orial
    -0.66
    POSITIVE LOGITS
     consequential
    0.74
    ties
    0.70
     stringent
    0.69
     matters
    0.69
     drastic
    0.67
     abundantly
    0.65
     specificity
    0.65
     constituted
    0.62
     aug
    0.62
     minded
    0.62
    Activations Density 0.053%

    No Known Activations