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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. 3560
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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
    redients
    -0.87
    itol
    -0.83
    gary
    -0.76
    bidden
    -0.76
    anol
    -0.75
    osuke
    -0.73
    '>
    -0.70
    uca
    -0.69
    aceae
    -0.68
    anos
    -0.67
    POSITIVE LOGITS
    soDeliveryDate
    0.73
    TF
    0.71
     captive
    0.71
     styl
    0.67
     experien
    0.66
     spar
    0.65
    ±
    0.64
    robe
    0.63
    AFTA
    0.63
     Poo
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.