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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. 11284
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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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    Negative Logits
    ations
    -0.65
    vd
    -0.59
    erved
    -0.59
    clock
    -0.59
    pi
    -0.59
    cup
    -0.58
    river
    -0.58
    aval
    -0.58
    usk
    -0.58
    central
    -0.58
    POSITIVE LOGITS
    othe
    0.68
    riel
    0.68
    oth
    0.67
    èĢħ
    0.65
    ilitarian
    0.65
    glers
    0.63
    NER
    0.63
    selves
    0.63
     grill
    0.63
    igan
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.