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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. 12412
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    INDEX
    Explanations
    No Explanations Found
    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
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    Negative Logits
     guiName
    -0.88
    姫
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    soDeliveryDate
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     srfAttach
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    spot
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     ACTIONS
    -0.74
    icipated
    -0.72
    é»Ĵ
    -0.68
    çĶŁ
    -0.68
     EVENTS
    -0.67
    POSITIVE LOGITS
    oken
    0.86
    ©¶æ
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    atri
    0.69
    ciating
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    atin
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    merga
    0.65
    ascript
    0.64
     Typh
    0.64
     mund
    0.63
    viously
    0.62
    Activations Density 0.000%

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