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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. 15643
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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
    usters
    -0.76
    amera
    -0.72
    ihil
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    å¦
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    LM
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    igun
    -0.65
    cies
    -0.64
    ANC
    -0.64
    anders
    -0.62
    inventoryQuantity
    -0.61
    POSITIVE LOGITS
     glyph
    0.66
    entry
    0.65
     paperback
    0.65
    packed
    0.63
     guiActiveUnfocused
    0.62
    deck
    0.61
    uble
    0.61
    ortment
    0.60
    icultural
    0.60
    iculture
    0.60
    Activations Density 0.000%

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