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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. 8-RES-JB
    11. 12984
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    INDEX
    Explanations

    number values related to margins and errors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote statistical margins of error

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    soDeliveryDate
    -0.76
    Jr
    -0.74
    è¦ļéĨĴ
    -0.70
     holiest
    -0.70
    wcs
    -0.68
    wikipedia
    -0.67
     Remastered
    -0.67
    mount
    -0.67
    IRC
    -0.66
     Temple
    -0.66
    POSITIVE LOGITS
     accomplishment
    0.77
     contention
    0.74
     constraint
    0.68
    ciation
    0.66
     competence
    0.66
     artic
    0.66
     reference
    0.65
     computation
    0.64
     choice
    0.64
     entry
    0.64
    Activations Density 0.099%

    No Known Activations