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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. 2-RES-JB
    11. 18817
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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
     conclud
    -0.74
     citiz
    -0.70
     cylinders
    -0.70
     mathemat
    -0.68
     informants
    -0.66
    ĪĴ
    -0.65
     peanuts
    -0.65
     MAT
    -0.65
     stren
    -0.65
     predec
    -0.64
    POSITIVE LOGITS
    tenance
    0.80
    UX
    0.73
    dress
    0.71
    raught
    0.71
    geist
    0.71
    gan
    0.71
    stage
    0.70
    ands
    0.69
    "]=>
    0.68
    sha
    0.68
    Activations Density 0.000%

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