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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. 9-RES-JB
    11. 5494
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    Explanations

    time-related information like timestamps

    oai_token-act-pair · gpt-3.5-turbo

    structured data or numerical references

    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
    Wil
    -0.82
     Burk
    -0.80
    buck
    -0.78
    bid
    -0.76
     brace
    -0.75
    Mus
    -0.74
     Greens
    -0.73
    éĥ
    -0.73
     Pupp
    -0.72
     Brun
    -0.72
    POSITIVE LOGITS
    12
    1.13
    2012
    0.99
     12
    0.96
     XII
    0.96
     2012
    0.88
     Twelve
    0.86
     1280
    0.86
     Takeru
    0.86
     twelve
    0.86
    122
    0.84
    Activations Density 0.274%

    No Known Activations