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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. 22932
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    Explanations

    years or time references

    oai_token-act-pair · gpt-3.5-turbo

    specific years that signify important historical events or changes

    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
    Topics
    -0.69
    paralle
    -0.68
    LESS
    -0.67
    Topic
    -0.65
    Pitt
    -0.64
    stairs
    -0.60
     wonders
    -0.59
    Repeat
    -0.58
    Ol
    -0.57
     sled
    -0.57
    POSITIVE LOGITS
    uly
    0.86
     inception
    0.85
    uberty
    0.80
     Sung
    0.64
    azo
    0.64
     horizon
    0.64
     embargo
    0.64
    cation
    0.63
     officially
    0.63
    ablished
    0.61
    Activations Density 0.205%

    No Known Activations