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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. 6-RES-JB
    11. 7588
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tradem
    -0.72
     exha
    -0.72
    wagen
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     disadvant
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     grounding
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     accompl
    -0.69
     challeng
    -0.69
     manif
    -0.68
     isolation
    -0.68
     deliveries
    -0.67
    POSITIVE LOGITS
     Accessed
    0.91
    taboola
    0.87
    embed
    0.79
    NET
    0.78
    htm
    0.78
    jpg
    0.78
    webkit
    0.74
    phal
    0.74
     SHARES
    0.72
    html
    0.72
    Activations Density 0.055%

    No Known Activations