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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. 5906
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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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    No Comments

    Negative Logits
    wagen
    -0.67
     Boeing
    -0.65
    ingu
    -0.62
    ledge
    -0.62
     Klux
    -0.61
     wills
    -0.60
    morning
    -0.59
    selves
    -0.59
    inals
    -0.58
     speech
    -0.58
    POSITIVE LOGITS
    Marginal
    0.80
    Ranked
    0.70
    --------------------------------------------------------
    0.70
     Majesty
    0.70
    Frames
    0.68
     TAMADRA
    0.68
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    0.65
    rix
    0.65
    yss
    0.64
     membr
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.