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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. 1-RES-JB
    11. 2774
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    avia
    -0.80
     Balt
    -0.76
    chn
    -0.74
     Zub
    -0.72
     Polk
    -0.70
    oci
    -0.69
     Osc
    -0.69
    lete
    -0.69
     Icar
    -0.67
     Niet
    -0.67
    POSITIVE LOGITS
    ħĭ
    0.78
     deficits
    0.71
    UCT
    0.67
    mage
    0.64
    features
    0.64
     deficit
    0.64
    UTERS
    0.63
    ARDIS
    0.63
     omitted
    0.62
    Ü
    0.62
    Activations Density 0.000%

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