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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. 146
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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
    Negative Logits
    vernment
    -0.76
    indal
    -0.67
    ugh
    -0.66
    uchi
    -0.62
    xual
    -0.61
     heal
    -0.60
    utterstock
    -0.59
    azel
    -0.58
    scar
    -0.58
     admire
    -0.57
    POSITIVE LOGITS
    apo
    0.73
    İĭ
    0.70
    20439
    0.67
    nikov
    0.62
     warr
    0.61
    urtles
    0.60
    Lago
    0.60
    blance
    0.60
    MU
    0.58
    Road
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.