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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. 6047
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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
     Tanz
    -0.79
    ADRA
    -0.78
     Nur
    -0.73
     Lans
    -0.72
    OSH
    -0.70
    UID
    -0.69
    OPLE
    -0.69
    ="#
    -0.67
     DeV
    -0.66
     Ibrahim
    -0.66
    POSITIVE LOGITS
    oras
    0.75
     gardening
    0.68
    inia
    0.67
     convers
    0.67
    wy
    0.66
    \/\/
    0.65
    perm
    0.65
    ividual
    0.64
    matter
    0.64
    talk
    0.63
    Activations Density 0.000%

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