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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. 11934
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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
     realities
    -0.71
     Mariners
    -0.66
    ĸļ
    -0.66
     Brill
    -0.63
     Dynamics
    -0.62
     Titanic
    -0.61
     Mandal
    -0.61
    jury
    -0.59
     Stadium
    -0.59
    Stars
    -0.58
    POSITIVE LOGITS
    enture
    0.71
     »
    0.68
    :(
    0.66
     pestic
    0.66
     diet
    0.65
    eto
    0.64
    guyen
    0.64
     certific
    0.64
    eln
    0.63
    eria
    0.63
    Activations Density 0.000%

    No Known Activations

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