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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. 11474
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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
    agher
    -0.79
    ellen
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    EVA
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    ciation
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     Dres
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     IMAGES
    -0.71
    aughs
    -0.67
    holder
    -0.67
    ¶æ
    -0.64
    çĦ
    -0.63
    POSITIVE LOGITS
    ctors
    0.62
     Zone
    0.61
     Meter
    0.60
    mos
    0.60
    perture
    0.59
     Frequency
    0.59
     Bronx
    0.58
     Palm
    0.57
     Globe
    0.56
     Poles
    0.56
    Activations Density 0.000%

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