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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 18786
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ween
    -0.78
    abus
    -0.73
     wand
    -0.64
    uggle
    -0.64
    irin
    -0.61
     Scroll
    -0.61
     overdose
    -0.61
    complete
    -0.61
     sheets
    -0.60
    oat
    -0.60
    POSITIVE LOGITS
    ãĥ¼ãĥ«
    0.83
    meier
    0.76
    DEBUG
    0.70
    ÑĮ
    0.67
     Mehran
    0.67
    utsche
    0.66
    ãĥķãĤ©
    0.66
    í
    0.66
    ãĥŁ
    0.65
    ëĭ
    0.65
    Activations Density 0.000%

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