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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. 3057
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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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    No Comments

    Negative Logits
    onga
    -0.98
    ription
    -0.84
    olor
    -0.82
    ntil
    -0.80
    inctions
    -0.77
    ooth
    -0.77
    acebook
    -0.77
    arantine
    -0.75
    leeve
    -0.75
    ogle
    -0.74
    POSITIVE LOGITS
     segment
    0.67
     column
    0.66
    sburg
    0.65
     subp
    0.65
     heated
    0.65
     civ
    0.64
     playbook
    0.63
     quart
    0.63
     volleyball
    0.62
     dispens
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.