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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. 9391
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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
    Not in Any Lists

    No Comments

    Negative Logits
    heny
    -0.79
    ECD
    -0.77
    swick
    -0.76
    ugi
    -0.76
    awatts
    -0.76
    ãĤ©
    -0.74
    thren
    -0.73
    essen
    -0.72
    hiba
    -0.72
    mas
    -0.71
    POSITIVE LOGITS
     Appropriations
    0.70
     Procedure
    0.67
     propag
    0.66
     Policy
    0.64
     Warm
    0.59
     McMaster
    0.59
     orc
    0.58
     dear
    0.58
     Transportation
    0.58
     haw
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.