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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. 18072
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    oai_token-act-pair · gpt-3.5-turbo

    numerical or coding 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
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    No Comments

    Negative Logits
     astroph
    -0.73
    én
    -0.71
    enn
    -0.68
     diagn
    -0.67
     Flint
    -0.66
     Enlight
    -0.66
     execut
    -0.65
     Marks
    -0.64
     pist
    -0.62
     punct
    -0.62
    POSITIVE LOGITS
    2
    1.38
     2
    1.16
    ãĤ°
    0.95
    II
    0.89
    3
    0.87
    two
    0.86
    2200
    0.85
    ²
    0.85
     II
    0.83
    arro
    0.82
    Activations Density 0.246%

    No Known Activations