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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. 3508
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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
    GT
    -0.71
    iferation
    -0.68
    umping
    -0.64
    GR
    -0.62
    ism
    -0.62
    itative
    -0.60
     Plot
    -0.60
     UPDATE
    -0.58
    ynthesis
    -0.58
     Jr
    -0.58
    POSITIVE LOGITS
    ãĥ¼ãĥĨ
    0.70
     ende
    0.70
    -+-+
    0.69
    cffff
    0.69
    ãĥķãĤ©
    0.66
    ãĤ¡
    0.66
    tain
    0.65
    iquid
    0.65
    vg
    0.64
     cover
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.