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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. 11295
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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
    agonal
    -0.78
    )=(
    -0.75
    éĹ
    -0.75
    leground
    -0.74
    ifies
    -0.74
    neutral
    -0.72
    esson
    -0.72
    querque
    -0.72
    flix
    -0.71
    eteria
    -0.69
    POSITIVE LOGITS
     interested
    0.67
     griev
    0.67
     conscientious
    0.66
     insepar
    0.65
     Tatt
    0.65
    inguishable
    0.65
     pit
    0.65
     scrut
    0.63
     notable
    0.61
     immune
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.