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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. 0-RES-JB
    11. 13004
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ittal
    -0.76
    onda
    -0.75
    vertisements
    -0.75
    ombo
    -0.67
    aft
    -0.66
    ¥ŀ
    -0.65
    ullah
    -0.65
    orpor
    -0.64
    inia
    -0.64
    eatures
    -0.63
    POSITIVE LOGITS
    ERY
    0.69
     Witcher
    0.65
    INESS
    0.64
     nonetheless
    0.63
    yy
    0.62
     Geh
    0.59
     nevertheless
    0.59
     moss
    0.58
    mir
    0.58
     Neighbor
    0.58
    Activations Density 0.000%

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